Vortex Trend Matrix [JOAT]Vortex Trend Matrix - Multi-Factor Trend Confluence System
Introduction and Purpose
Vortex Trend Matrix is an open-source overlay indicator that combines Ichimoku-style equilibrium analysis with the Vortex Indicator to create a comprehensive trend confluence system. The core problem this indicator solves is that single trend indicators often give conflicting signals. Price might be above a moving average but momentum might be weakening.
This indicator addresses that by combining five different trend factors into a single composite score, making it easy to identify when multiple factors align for high-probability trend trades.
Why These Components Work Together
Each component measures trend from a different perspective:
1. Cloud Position - Price above/below the equilibrium cloud indicates overall trend bias. The cloud acts as dynamic support/resistance.
2. TK Relationship - Conversion line vs Base line (like Tenkan/Kijun in Ichimoku). Conversion above Base = bullish momentum.
3. Lagging Span - Current price compared to price N bars ago. Confirms whether current move has follow-through.
4. Vortex Indicator - VI+ vs VI- measures directional movement strength. Provides momentum confirmation.
5. Base Direction - Whether the base line is rising or falling. Indicates medium-term trend direction.
How the Trend Score Works
float trendScore = 0.0
// Cloud position (+2/-2)
trendScore += aboveCloud ? 2.0 : belowCloud ? -2.0 : 0.0
// TK relationship (+1/-1)
trendScore += conversionLine > baseLine ? 1.0 : conversionLine < baseLine ? -1.0 : 0.0
// Lagging span (+1/-1)
trendScore += laggingBull ? 1.0 : laggingBear ? -1.0 : 0.0
// Vortex (+1.5/-1.5)
trendScore += vortexBull ? 1.5 : vortexBear ? -1.5 : 0.0
// Base direction (+0.5/-0.5)
trendScore += baseDirection * 0.5
Score ranges from approximately -6 to +6:
- +4 or higher = STRONG BULL
- +2 to +4 = BULL
- -2 to +2 = NEUTRAL
- -4 to -2 = BEAR
- -4 or lower = STRONG BEAR
Signal Types
TK Cross Up/Down - Conversion line crosses Base line (momentum shift)
Base Direction Change - Base line changes direction (medium-term shift)
Strong Bull/Bear Trend - Score reaches +4/-4 (high confluence)
Dashboard Information
Trend - Overall status with composite score
Cloud - Price position (ABOVE/BELOW/INSIDE)
TK Cross - Conversion vs Base relationship
Lagging - Lagging span bias
Vortex - VI+/VI- relationship
VI+/VI- - Individual vortex values
How to Use This Indicator
For Trend Following:
1. Enter long when trend score reaches +4 or higher (STRONG BULL)
2. Enter short when trend score reaches -4 or lower (STRONG BEAR)
3. Use cloud as dynamic support/resistance for entries
For Momentum Timing:
1. Watch for TK Cross signals for entry timing
2. Base direction changes indicate medium-term shifts
3. Vortex confirmation adds conviction
For Risk Management:
1. Exit when trend score drops to neutral
2. Use cloud edges as stop-loss references
3. Reduce position when score weakens
Input Parameters
Conversion Period (9) - Fast equilibrium line
Base Period (26) - Slow equilibrium line
Lead Span Period (52) - Cloud projection period
Displacement (26) - Cloud and lagging span offset
Vortex Period (14) - Period for vortex calculation
VI+ Strength (1.10) - Threshold for strong bullish vortex
VI- Strength (0.90) - Threshold for strong bearish vortex
Timeframe Recommendations
4H-Daily: Best for equilibrium-based analysis
1H: Good for intraday trend following
Lower timeframes may require adjusted periods
Limitations
Equilibrium calculations have inherent lag
Cloud displacement means signals are delayed
Works best in trending markets
May whipsaw in ranging conditions
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
M-oscillator
Kernel Filter Histogram (RBF)The Kernel Filter Histogram (RBF) is a regime-detection and edge-confirmation tool built on Gaussian (RBF) kernel regression.
It is designed to identify when market conditions are favorable for participation and when traders should stay defensive.
Instead of reacting to price noise, this indicator measures the normalized slope of a smoothed kernel regression curve, converts it into a z-score, and displays it as a histogram representing directional edge pressure.
What It Measures
Underlying market regime (bullish, bearish, or neutral)
Strength and quality of directional momentum
Statistical edge expansion vs compression
When trend continuation is more likely vs chop
How It Works
Applies Nadaraya–Watson kernel regression using a Gaussian (RBF) kernel
Calculates the slope of the regression curve
Normalizes slope using ATR for cross-instrument consistency
Converts the result into a z-score to measure statistical deviation
Smooths the output into a readable histogram + signal line
Uses an optional threshold gate to filter low-quality conditions
Reading the Histogram
Green bars → Bullish regime / positive edge
Red bars → Bearish regime / negative edge
Gray bars → Neutral / low-edge environment
Above zero → Bullish pressure dominates
Below zero → Bearish pressure dominates
Threshold gating allows you to require minimum edge strength before treating signals as actionable.
Best Use Cases
Trade filter (only take longs when bullish, shorts when bearish)
Regime confirmation for existing strategies
Momentum quality assessment
Avoiding chop and low-probability setups
Multi-timeframe alignment tool
What This Is (and Is Not)
✔ IS: A high-quality regime and edge filter
✔ IS: Designed for professional trading systems
✔ IS: Instrument-agnostic and timeframe-agnostic
✖ NOT: A buy/sell signal generator
✖ NOT: A lagging moving average
✖ NOT: A beginner indicator
Recommended Usage
Use this indicator as a gatekeeper:
Only execute setups when the histogram confirms favorable regime conditions
Combine with your entry trigger, not instead of it
Works exceptionally well with trend-following, momentum, and mean-expansion systems
Digital MACD Divergences MTF [LUPEN]Digital MACD Divergences MTF V1.0
Overview:
Digital MACD Divergences MTF is an advanced momentum oscillator based on digital signal processing techniques.
Instead of relying on traditional moving-average smoothing, it applies Finite Impulse Response (FIR) digital filters to extract momentum more cleanly, reducing lag and short-term market noise.
The indicator is designed to provide a clear visualization of momentum structure, divergence behavior, and multi-timeframe context, rather than discrete trading signals.
Conceptual Architecture
At its core, the indicator reinterprets the classic MACD framework through digital convolution logic:
FIR filters are used to compute momentum in a more responsive and stable manner than standard EMA-based MACD.
The resulting histogram represents momentum intensity and direction as a continuous state rather than binary conditions.
A digitally smoothed signal line provides structural reference without introducing excessive delay.
This approach emphasizes momentum quality and structure, not signal frequency.
Divergence Detection Logic:
The script includes automatic divergence detection based on pivot analysis:
Regular bullish and bearish divergences are identified using confirmed pivot points.
Divergences are visualized with explicit line structures and optional filled areas, highlighting the zone of disagreement between price behavior and momentum.
The visualization is designed to remain readable without obscuring price action.
Divergences are presented as contextual information, not as mandatory actions.
Multi-Timeframe (MTF) Context
Digital MACD Divergences MTF supports native multi-timeframe analysis through a dual-pane workflow:
A lower-timeframe instance visualizes local momentum dynamics.
A higher-timeframe instance visualizes the broader momentum regime within which lower-timeframe fluctuations occur.
The higher-timeframe view is not intended as confirmation or filtering logic, but as a contextual background layer that helps interpret short-term momentum behavior inside a larger structural environment.
This separation avoids decision compression and keeps each timeframe’s role conceptually distinct.
Visual Design
Gradient-based histogram fills represent momentum intensity in a continuous manner.
Positive and negative momentum regions are clearly differentiated while remaining adaptable to both dark and light chart themes.
All visual elements are designed to emphasize state and regime, not discrete events.
Reliability
No repainting: all divergences and momentum states are confirmed on candle close and remain fixed.
Designed for consistency across instruments and timeframes.
Customization Options
Timeframe selection for MTF mode (leave empty to use the chart’s timeframe).
Adjustable signal smoothing parameters.
Divergence visibility controls, pivot sensitivity, and optional divergence fill.
Fully customizable color palette.
Usage Notes
This indicator is a visual market analysis tool intended to support momentum interpretation and structural context.
It does not provide investment advice, trading signals, or automated decision logic, and should be used as part of a broader analytical framework.
Final quotes:
"Trading is not about prediction, but about understanding momentum structure.
Digital MACD removes noise to make that structure visible."
Market Probability Dashboard📊 Market Probability Dashboard
Market Probability Dashboard is a context-driven analytical tool designed to help traders assess directional bias and market conditions using a probabilistic framework.
It does not generate buy/sell signals. Instead, it provides a structured view of bullish vs bearish probability, market regime, and execution readiness — allowing traders to make informed discretionary decisions.
🔍 What This Indicator Does
This indicator estimates the probability of directional movement in the market by combining:
Futures-based momentum and volatility (execution focus)
Spot-based structure and regime (context focus)
A bounded probability engine with adaptive caps
A visual state model for decision clarity
The output is a dashboard + histogram that summarizes market conditions in real time.
🧠 Probability Model (High-Level)
The probability engine follows these principles:
Baseline neutrality: Starts from 50%
Momentum adjustment: Futures EMA alignment nudges probability
Volatility awareness: Expanding volatility increases confidence
Regime control: Spot-derived regime limits probability extremes
Clamping: Probabilities are intentionally bounded to avoid overconfidence
All probabilities are relative, not predictive.
⏱ Timeframe Logic (Auto Mode)
When Auto Timeframe Engine is enabled:
Execution timeframe = chart timeframe
Context timeframe = automatically derived higher timeframe
Regime timeframe = higher-order structure timeframe
This design helps reduce confusion between execution vs context, especially for intraday traders.You may disable Auto Mode and use fixed timeframes if preferred.
📊 Visual Layout Explained
1️⃣ Probability Histogram (Bottom Pane)
Green bars → Bullish probability dominance
Red bars → Bearish probability dominance
Yellow zone (45–55) → No-trade / balance area
Bar opacity increases with conviction strength
This view helps you see how probability evolved historically, not just the latest value.
2️⃣ Dashboard Panel (Top-Right)
Field Meaning
ACTION Current market participation state
UP BIAS % Bullish probability (bounded)
MARKET MODE Regime derived from spot structure
TRADE TF Execution timeframe
CONTEXT TF Higher timeframe context
The table is intentionally minimal to remain readable on all chart sizes.
🧭 Decision State Logic (Interpretation Guide)
The indicator classifies conditions into states, not signals:
State Interpretation
NO-TRADE Balanced or range-bound conditions
SCALP-ALLOW Short-term participation possible with reduced expectations
TRADE-LIGHT Directional bias present, moderate conviction
TRADE-PRESS Strong alignment and momentum
EXIT Momentum deterioration or probability reversal
These are context labels, not trade instructions.
🧑💻 How to Use This Indicator
Best used as:
A bias filter before taking trades
A context layer alongside price action
A confidence gauge, not a trigger
Recommended pairing:
Price structure
Volume / VWAP
Personal risk rules
⚠️ Important Disclaimer
This indicator is for analytical and educational purposes only.It does not provide buy/sell signals.It does not predict future price. All probability values are estimates, not guarantees.Trading involves risk. Always validate decisions using your own analysis and risk management.
USDT: Market cap changeUSDT: Market Cap Change
This indicator tracks the market capitalization changes of major stablecoins (USDT, USDC, and DAI) to help identify capital flows in the cryptocurrency market.
Features:
Monitor daily and custom period market cap changes for selected stablecoins
Configurable stablecoin selection (USDT, USDC, DAI)
Adjustable lookback period for measuring market cap changes
Multiple moving average types (SMA, EMA, HMA, WMA, RMA) for trend analysis
Visual representation with columns for daily changes and area fill for custom period changes
How to Use:
The indicator displays two main metrics: daily market cap change (shown as columns) and custom period change (shown as a line with area fill). Positive values indicate capital inflow into stablecoins, which may suggest accumulation or risk-off sentiment. Negative values indicate capital outflow, potentially signaling deployment into other crypto assets.
The moving average overlay helps identify trends in stablecoin market cap changes over time.
Settings:
Select which stablecoins to track
Adjust the lookback period (default: 60 days)
Toggle and configure the moving average overlay
Customize MA type and length
Data Source:
Uses Glassnode market capitalization data for USDT, USDC, and DAI on a daily timeframe.
Aura Vortex Oscillator [Pineify]Aura Vortex Oscillator – Adaptive Momentum with Visual Depth
The Aura Vortex Oscillator is a sophisticated momentum indicator that transforms raw price action into a visually immersive analytical tool. By combining Sigmoid-based normalization through ArcTan mathematics with adaptive momentum calculations, this oscillator delivers clear, bounded signals while filtering market noise. The distinctive "Vortex Mesh" visualization creates a layered depth effect that reveals trend consensus across multiple smoothing periods.
Key Features
Sigmoid normalization using ArcTan function for bounded output (-100 to +100)
Adaptive momentum calculation with standard deviation normalization
Multi-layered "Vortex Mesh" creating visual depth and trend confluence signals
Dynamic color-coded visualization for instant trend recognition
Zero-line crossover signals with plotted reversal markers
Extreme zone highlighting for overbought/oversold conditions
How It Works
The core calculation begins with computing the Z-score of price relative to its simple moving average, normalized by standard deviation. This adaptive component automatically adjusts sensitivity based on recent volatility. The normalized value then passes through an ArcTan function, which acts as a sigmoid transformation, "squarifying" the output to emphasize extreme conditions while keeping values bounded.
os = atan(z × intensity) × 63.66
The multiplier 63.66 scales the output to approximately -100 to +100, providing intuitive overbought/oversold levels at ±50.
Trading Ideas and Insights
Use zero-line crossovers as primary trend change signals – bullish when crossing above, bearish when crossing below
Monitor the Vortex Mesh thickness – a thick, solid aura indicates strong trend consensus across timeframes
Watch for background highlighting at ±50 levels to identify statistical extremes for potential reversals
Combine with price action analysis when the oscillator reaches boundary zones
How Multiple Indicators Work Together
The Aura Vortex Oscillator integrates three technical concepts into one cohesive system. The adaptive momentum calculation provides the raw signal, responding dynamically to market volatility. The ArcTan normalization bounds this signal and emphasizes extremes without clipping. Finally, the Vortex Mesh applies multiple EMA smoothing layers to the base signal, creating visual depth that shows whether different momentum speeds agree on trend direction.
Unique Aspects
Unlike traditional oscillators that show a single line, this indicator visualizes momentum as a "thermal field" through its layered mesh system. The mesh expands and contracts based on trend agreement – a thick, cohesive glow suggests high-confluence momentum, while a thin, scattered appearance warns of choppy, range-bound conditions.
How to Use
Add the indicator to your chart as a separate pane
Look for color transitions (green to red or vice versa) at zero-line crosses for trend reversals
Use the ±50 boundary zones and background highlighting to identify overextended conditions
Enable the Vortex Mesh to visualize trend strength and momentum consensus
Customization
Vortex Sensitivity (20) : Base period for momentum calculation – lower values increase responsiveness
Vortex Intensity (2.0) : Amplifies signal squarification – higher values push readings toward extremes faster
Aura Smoothing (8) : EMA period for the main signal line – higher values reduce noise
Enable Vortex Mesh : Toggle the layered visualization effect
Color Settings : Customize bullish, bearish, and neutral colors
Conclusion
The Aura Vortex Oscillator offers traders a unique perspective on momentum analysis by combining mathematical rigor with innovative visualization. Its adaptive normalization ensures reliable signals across different market conditions, while the Vortex Mesh provides instant visual feedback on trend quality. Whether you are identifying trend reversals, measuring momentum strength, or seeking confluence confirmation, this oscillator delivers actionable insights in an intuitive format.
BE-QuantFlow: Adaptive Momentum Trading█ Overview: QuantFlow: Adaptive Momentum Trading
QuantFlow is a sophisticated algorithmic momentum trading method designed specifically for indices and high-beta stocks. However, its logic is universal; with appropriate parameter tuning, it adapts to various asset classes and timeframes.
While the standard momentum indicators (like RSI or MACD) simply measure how fast price is moving (Velocity), QuantFlow analyzes the quality and conviction of the trend . Features like Dynamic Volatility Filtering and Trend Shielding, combined with volatility weighting and a "Dual-Line" approach to distinguish between a sustainable institutional trend and a temporary retail spike, make the indicator unique and more powerful.
█ Why QuantFlow ?
Quant (The Engine): This replaces subjective guessing with objective math.
Instead of just seeing that the price is "up," we measure "how it got there". For example, a stock that rises 1 currency value every day for 10 days (smooth trend) gets a much higher score than a stock that jumps 10 currency value in one minute and does nothing else (erratic noise). This mathematical rigor provides the structure.
█ Core Logic & Philosophy
To understand how QuantFlow calculates momentum, imagine a "Tug-of-War" between Buyers (Bulls) and Sellers (Bears). Most indicators (like RSI) use a single line. If RSI is at 50, it means "Neutral." But "Neutral" can mean two very different things:
Peace: Nothing is happening. No one is buying or selling.
War: Buyers are pushing hard, but Sellers are pushing back equally hard. Volatility is massive.
A single line hides this reality. QuantFlow splits the market into two separate scores:
Bull Score (Green Line): How hard are the buyers pushing?
Bear Score (Red Line): How hard are the sellers pushing?
The Layman's Advantage:
If both lines are low = Sleepy Market (Avoid).
If Green is high and Red is low = Clean Uptrend (Buy).
If Red is high and Green is low = Clean Downtrend (Sell).
If both lines are high = Chaos/War Zone (Wait).
█ How it Weight "Sustenance" (The Critical Quality Check)
This is the most unique aspect of QuantFlow: Trend direction alone is not enough; Sustenance is weighed equally . Standard indicators treat every 10 currency value movements the same way with no distinction. However, QuantFlow asks, "Did you hold the ground you gained?"
Scenario A (High Sustenance) : A stock opens at 100, marches to 110, and closes at 110.
Verdict : Buyers pushed up and sustained the price.
QuantFlow Weight : 100%. This is a high-quality move.
Scenario B (Low Sustenance) : A stock opens at 100, spikes to 110, but gets sold off to close at 102.
Verdict : Buyers pushed up (Trend is Up), but failed to sustain it (Long Wick).
QuantFlow Weight : 20%. This is treated as "Noise" or a trap.
By mathematically weighing the Close Location Value (where the candle closes relative to its high/low), QuantFlow filters out "Gap-and-Fade" traps and exhaustion spikes that fool traditional indicators.
Comparisons: QuantFlow vs. The Rest
Calculation Logic : Standard RSI/MACD measures simple price change over time. QuantFlow measures Price Change 'times (x)' Conviction (Sustenance Weighting).
Visual Output : Standard tools show a single line (0-100), often hiding market conflict. QuantFlow displays Dual Lines (Bull vs Bear Intensity) to reveal the true state of the battle.
Trap Handling : Standard indicators are often fooled by sharp spikes. QuantFlow ignores "Gap-and-Fade" moves with poor closing conviction.
Adaptability : Standard tools use static levels (e.g., Overbought > 70). QuantFlow uses Dynamic Bands that adjust automatically to recent volatility.
█ Dynamic Volatility Filtering
Unlike standard indicators that use fixed levels (e.g., "Buy if RSI > 50"), QuantFlow acknowledges that "50" means something different in a quiet market versus a crashing market. This section explains the statistical engine driving the signals.
The Problem with Static Levels : In a low-volatility environment, a momentum score of 55 might indicate a massive breakout. In a high-volatility environment, a score of 55 might just be random noise. A fixed threshold cannot handle both scenarios.
The Solution: Adaptive Statistics : The script maintains a memory of the Momentum Events. It doesn't just look at price; it looks at where the momentum occurred in the past and draws a "Noise Zone" (Grey Band). This logic acts as a "Smart Gatekeeper" for trade entries:
Scenario A: Inside the Noise (The Filter)
If a new momentum signal happens inside the Noise Zone, the script assumes it is likely chop or noise.
Action : It forces a wait period. The signal is delayed until the trend sustains itself for Confirm Bars; else the signal is cancelled. This filters out ~70% of false signals in sideways markets.
Scenario B: Outside the Noise (The Breakout)
If a new momentum signal happens outside the Noise Zone (or the momentum score smashes through the Upper Band), it is statistically significant (an outlier event).
Action: It triggers an Immediate Entry. No waiting is required because the move is powerful enough to escape the historical noise zone.
█ The ⚠️ "Warning" System (Heads-up for Smart Reversals)
While you are directional if there is potential reversal signal, it provides the heads-up warning for a better decision-making
█ Special Utility: Ghost Mode
For intraday traders, the biggest disruption to "Flow" is the mandatory broker square-off at 3:15 PM (considering Indian Market). Often, a trend continues overnight, and the trader misses the gap-up opening the next morning because their algo was flat.
Ghost Mode is a unique feature that runs silently in the background:
At Square-off: The strategy closes your official position to satisfy the broker.
In the Background: It keeps the trade "alive" virtually (Ghost).
Next Morning: If the market opens in the trend's favor, the strategy re-enters the trade automatically. This approach ensures you capture the full swing of the trend, even if you are forced to exit at the previous session.
█ Advice on this indicator:
Parameter Calibration: The default settings are optimized for BankNifty on 5-minute charts. If you trade stocks, crypto, commodities, or any higher timeframes (e.g., 15-min or hourly), you must adjust these.
Low Volatility Assets: Reduce Stop Multiplier to 2.0.
High Volatility Assets: Increase Momentum Lookback to 50 to filter noise.
Confluence (Additional Confirmation): While QuantFlow is a complete system, using it alongside Key Support/Resistance Levels or Volume Profile provides the highest probability setups.
Estado Coral + SAR + RSIWhen the price is above the SAR level, the Coral level is positive, and the RSI is above 57, a green buy candle is generated. If the SAR and Coral are negative and the RSI is below 38, a red sell bar is generated.
Estado Coral + SAR + RSIWhen the price is above the SAR level, the Coral level is positive, and the RSI is above 57, a green buy candle is generated. If the SAR and Coral are negative and the RSI is below 38, a red sell bar is generated.
VMDivergencesTH Volume Momentum Divergences - How It Works
🎯 Overview
This indicator detects divergences between price action and a custom momentum oscillator. Divergences occur when price moves one direction while momentum moves the opposite direction — often signaling potential reversals or trend continuations.
⚙️ The Hidden Oscillator Engine
The oscillator runs in the background (not plotted on chart) and combines two components:
Component 1: Momentum (MACD-style)
Momentum = Fast EMA(12) - Slow EMA(26)
Measures the difference between a fast and slow exponential moving average. Positive = bullish momentum, Negative = bearish momentum.
Component 2: Bollinger Band Distance
Distance = (Price - BB Middle) / Standard Deviation
Measures how far price has strayed from its "normal" range. Values > 2 = overbought territory, Values < -2 = oversold territory.
Hybrid Blend
Final Oscillator = (Normalized Momentum × Blend) + (Band Distance × (1 - Blend))
The Momentum Blend setting (default 1.0) controls the mix:
1.0 = Pure momentum (like MACD)
0.0 = Pure band distance (like Bollinger %B)
0.5 = Equal blend of both
🔍 Pivot Detection
The indicator identifies swing highs and swing lows on both:
Price (using high and low)
Oscillator (using the hybrid oscillator value)
How Pivots Are Found
text
Swing High = A bar where the high is higher than X bars on BOTH sides
Swing Low = A bar where the low is lower than X bars on BOTH sides
The Swing Strength setting (default 5) controls how many bars on each side are required:
Lower values (2-3) = More pivots, more signals, more noise
Higher values (7-10) = Fewer pivots, fewer signals, higher quality
🔀 Divergence Types Explained
1. 🟢 Regular Bullish Divergence (Reversal Signal)
Price: Lower Low ↘ (making new lows)
Oscillator: Higher Low ↗ (momentum improving)
Meaning: Price is falling but momentum is building. The selling pressure is weakening — potential bottom forming.
Visual: Green triangle below bar + solid line connecting lows
2. 🔴 Regular Bearish Divergence (Reversal Signal)
text
Price: Higher High ↗ (making new highs)
Oscillator: Lower High ↘ (momentum fading)
Meaning: Price is rising but momentum is declining. The buying pressure is weakening — potential top forming.
Visual: Red triangle above bar + solid line connecting highs
3. 🟡 Hidden Bullish Divergence (Continuation Signal)
text
Price: Higher Low ↗ (holding above previous low)
Oscillator: Lower Low ↘ (momentum dipped)
Meaning: In an uptrend, price made a higher low but oscillator made a lower low. The oscillator "reset" while price held strong — trend likely to continue UP.
Visual: Green diamond below bar + dashed line
4. 🟠 Hidden Bearish Divergence (Continuation Signal)
text
Price: Lower High ↘ (staying below previous high)
Oscillator: Higher High ↗ (momentum bounced)
Meaning: In a downtrend, price made a lower high but oscillator made a higher high. The oscillator bounced but price couldn't — trend likely to continue DOWN.
Visual: Red diamond above bar + dashed line
5. 🔵 Double Bottom with Divergence (Strong Support)
text
Price: Two lows at SIMILAR levels (within ATR tolerance)
Oscillator: Second low HIGHER than first
Meaning: Price tested the same support twice, but momentum was stronger on the second test — buyers defending that level aggressively.
Visual: Cyan circle below bar + dotted line
6. 🟣 Double Top with Divergence (Strong Resistance)
text
Price: Two highs at SIMILAR levels (within ATR tolerance)
Oscillator: Second high LOWER than first
Meaning: Price tested the same resistance twice, but momentum was weaker on the second test — sellers defending that level.
Visual: Purple circle above bar + dotted line
✅ Validation Filters
Not every pivot pair creates a signal. The indicator applies filters:
Filter Purpose
Min Pivot Distance (default 5) Pivots must be at least 5 bars apart — prevents micro-divergences
Max Pivot Distance (default 50) Pivots must be within 50 bars — prevents stale/irrelevant divergences
DTB Tolerance (default 0.3 × ATR) For double top/bottom, price levels must be within 30% of ATR
📊 Visual Elements
Element Description
Markers Shapes above/below candles when divergence triggers
Lines Connect the two pivot points involved in the divergence
Labels Text tags showing divergence type (REG, HID, DBL)
Glow Effect Thicker semi-transparent line behind main line
Background Flash Brief color flash on signal bar
Status Panel Real-time table showing oscillator value and active signals
🧠 Trading Logic Summary
┌──────────────────────────────────────────────────────────┐
│ DIVERGENCE CHEAT SHEET │
├──────────────────────────────────────────────────────────┤
│ REGULAR BULLISH │ Price ↘ Osc ↗ │ Look for LONGS │
│ REGULAR BEARISH │ Price ↗ Osc ↘ │ Look for SHORTS │
│ HIDDEN BULLISH │ Price ↗ Osc ↘ │ Add to LONGS │
│ HIDDEN BEARISH │ Price ↘ Osc ↗ │ Add to SHORTS │
│ DOUBLE BOTTOM │ Same low, Osc ↗ │ Strong SUPPORT │
│ DOUBLE TOP │ Same high, Osc ↘ │ Strong RESISTANCE │
└──────────────────────────────────────────────────────────┘
[CT] Trend Pulse Oscillator Trend Pulse Oscillator is a clean, responsive trend and momentum oscillator that measures directional pressure by comparing a fast EMA to a slow EMA, then normalizing that spread by ATR so the reading stays consistent across different symbols and volatility regimes. Instead of relying on percentile bands or fixed overbought, oversold logic from legacy oscillators, this indicator converts the EMA spread into a smooth 0–100 signal that behaves like a “trend intensity meter,” where 50 acts as the neutral midpoint, values above 50 reflect bullish dominance, and values below 50 reflect bearish dominance. Because the core input is the distance between two EMAs, it naturally tracks trend alignment, and because it is volatility-normalized, it avoids becoming overly sensitive during high volatility or too sluggish during quiet conditions.
The engine begins by calculating a fast EMA and a slow EMA on your selected source, then computing the spread between them. That spread alone can be misleading across markets because the same raw distance means different things in low volatility versus high volatility environments, so the script divides the spread by ATR to create a normalized value that represents how meaningful the trend separation is relative to typical movement. Once the spread is normalized, the indicator applies a bounded mapping using an arctangent transform, which is a stable way to compress extreme values while preserving sensitivity near the midpoint. This produces a smooth oscillator that stays in a predictable 0–100 range without hard clamping, and it keeps the transitions realistic even when price accelerates strongly. The Speed setting is the main sensitivity control, where higher values make the oscillator respond faster and flip states more quickly, and lower values slow the response, reduce noise, and produce fewer regime changes.
A signal line is then applied to the oscillator using an EMA, creating a two-line framework that is easy to trade. The oscillator line represents the current trend pressure state, while the signal line represents the smoothed baseline of that pressure. The primary decision point is the relationship between the oscillator and the signal, where oscillator above signal indicates improving bullish pressure and oscillator below signal indicates improving bearish pressure. This relationship is also used to drive the visual state of the indicator so the chart feedback matches the current bias. The indicator additionally computes a Pulse histogram as the difference between the oscillator and the signal line, which helps you quickly see when momentum is expanding or contracting. When the histogram grows in the bullish direction, pressure is strengthening above the baseline, and when it contracts toward zero, pressure is fading and conditions are becoming more balanced.
The visual layer is built to make bias and transitions obvious without clutter. You can enable a fill between the oscillator and the signal line that changes color based on whether the oscillator is above or below the signal, so the “state” is visible even at a glance. The Pulse histogram can be shown to highlight the size of the separation between the oscillator and the signal, which is useful for spotting early momentum shifts, confirming continuation, or identifying when a move is losing energy. The indicator includes standard level guides with a midpoint at 50 and optional overbought and oversold thresholds, which can help you contextualize stronger pushes away from neutral. These levels are best treated as context rather than automatic reversal triggers, because this tool is designed to track trend pressure first, and it can remain elevated or depressed for extended periods during strong directional moves.
For traders who like a unified view, there is an optional setting to color price bars based on the oscillator state relative to the signal line. When enabled, candles will reflect bullish bias when the oscillator is above the signal and bearish bias when below, aligning your chart’s candle colors with the same logic driving the oscillator’s state. This makes it easy to stay consistent with your bias filter without constantly checking the panel. The indicator also includes alert conditions focused on the core events traders care about, including oscillator crosses of the signal line, crosses of the 50 midpoint, and crosses of the overbought and oversold levels, so you can automate notifications for regime shifts, momentum changes, and stronger pressure conditions.
In practical use, Trend Pulse Oscillator is most effective as a bias and timing tool. When the oscillator holds above 50 and repeatedly stays above its signal line, it reflects persistent bullish pressure where pullbacks are more likely to be continuation opportunities. When the oscillator holds below 50 and stays below its signal line, it reflects persistent bearish pressure where rallies are more likely to be corrective. The most valuable information often comes from how cleanly the oscillator can stay on the correct side of its signal and whether the Pulse histogram expands during breaks and contractions, because that combination helps separate real trend continuation from choppy rotation.
[CT] Adaptive Trend Pressure (Percentile) Adaptive Trend Pressure (Percentile) is a centered, percentile-based trend and momentum pressure gauge designed to show you whether price is behaving more like it is pushing into the upper end of its recent distribution or slipping toward the lower end. Instead of using a fixed lookback oscillator formula, it builds an adaptive “range” from percentile bands that constantly adjust to the market’s recent behavior. That makes the reading more context-aware than many traditional oscillators, because the indicator is measuring where current price sits relative to an evolving statistical envelope rather than a static high/low window. The output is a pressure value that naturally expands when price action is persistently pressing toward the upper percentile band and contracts or turns negative when price is leaning toward the lower percentile band, which helps you read both direction and the quality of participation behind that direction.
The core engine starts by modeling a dynamic band around price using a volatility component. Volatility is measured with standard deviation over a short window, then scaled by a multiplier, and that volatility-adjusted value is added to and subtracted from the selected source to create an upper and lower “series.” Those two series are then run through a percentile calculation over the chosen trend length and sensitivity setting. The indicator finds the upper percentile of the upper series and the lower percentile of the lower series, creating an adaptive envelope that reflects both price location and recent volatility conditions. Once those percentile boundaries are established, the script converts the current source into a normalized oscillator by measuring how far it is between the lower and upper percentiles. That produces a bounded 0–100 reading that rises when price is persistently positioned near the top of the envelope and falls when price is positioned near the bottom, and it avoids distortions by protecting against division by extremely small ranges.
To make the output easier to trade, the indicator converts the 0–100 oscillator into a centered pressure line by subtracting 50. This creates a clean zero-line framework where positive pressure means the market is behaving with an upper-distribution bias and negative pressure means the market is behaving with a lower-distribution bias. The zero line becomes the primary regime divider and is intentionally simple to interpret in real time. When pressure stays above zero, you are generally seeing conditions consistent with bullish control, and when it stays below zero, you are generally seeing conditions consistent with bearish control. Because it is centered, you can also quickly judge the intensity of pressure by how far the histogram extends away from zero, which helps separate shallow drift from meaningful push.
A signal line is included and is computed as an EMA of the centered pressure value. This line is meant to smooth out the raw fluctuations and give you a second reference for timing and confirmation. When pressure is above the signal line, momentum is improving relative to its recent baseline, and when pressure is below the signal line, momentum is weakening. Crosses of pressure through the signal can be used as earlier timing cues, while the zero-line framework can be used as the higher-level bias filter. In practice, many traders will treat sustained pressure above zero as the directional environment and then use the signal relationship to help choose entries on pullbacks or to recognize when momentum is fading.
The indicator also includes optional zone guides that frame where “higher pressure” and “lower pressure” tend to become more meaningful. These zones are centered values, so the default upper zone corresponds to the same concept as an oscillator reading above roughly 75 on a 0–100 scale, and the default lower zone corresponds to roughly 25 on a 0–100 scale. When pressure pushes into the upper zone, it suggests the market is not only bullish-biased but doing so with stronger persistence, and when pressure pushes into the lower zone, it suggests stronger bearish persistence. The zone fill is a visual context rather than a standalone signal, and it is best used to identify when momentum is extended, when a trend is accelerating, or when mean-reversion risk may start rising, depending on your style.
By default, the plot is a histogram so you can read pressure as a “push” above or below zero. The histogram coloring can be enabled to make positive bars appear green and negative bars appear red, which reinforces the centered framework and keeps your attention on regime and intensity. If you prefer a cleaner look, you can switch to a line display while keeping the same calculations underneath. There is also an optional setting to color the actual price bars to match the histogram direction, which makes the bias visible on the main chart at a glance. When enabled, candles will adopt the bullish color when pressure is at or above zero and the bearish color when pressure is below zero, giving you a consistent visual alignment between the oscillator’s pressure state and the price action you are trading.
This tool is best used as a trend context and momentum pressure filter rather than a single, one-off trigger. In uptrends, you will often see pressure hold above zero with brief dips that fail to sustain below, and those dips commonly align with pullbacks that resolve back into the trend. In downtrends, pressure commonly holds below zero with brief rallies that fail to sustain above. The most important information is usually not the first cross, but whether the indicator can stay on the correct side of zero and how confidently it can push toward or into the upper or lower zone. When combined with your existing structure work, it can help you decide when to press trades in the direction of momentum and when to reduce risk as pressure fades or flips regime.
Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD) [DotGain]Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD)
This indicator combines three proven market stress and mean-reversion components to identify potential buy and sell opportunities during extended market conditions.
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📌 Included Components
1️⃣ Volatility-Based Stress Filter (Vix Fix)
Detects short-term market panic using relative price movement.
Signals are generated only during periods of elevated volatility or market stress.
2️⃣ Moving Average Deviation (MA Deviation)
Identifies overbought and oversold conditions based on the percentage deviation from a selected moving average.
Supported MA types:
• EMA
• SMA
• RMA
• VWMA
• WMA
• TEMA
3️⃣ TRMAD (True Range Mean Absolute Deviation)
Measures the distance of price from its mean relative to current volatility.
Useful for filtering extreme price moves and reducing false signals.
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📈 Trading Signals
Buy Signal:
• Elevated market volatility
• Price significantly below the moving average
• TRMAD below the defined threshold
Sell Signal:
• Elevated market volatility
• Price significantly above the moving average
• TRMAD above the defined threshold
Signals are visualized directly on the chart:
• Buy: green label below the candle
• Sell: red label above the candle
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⚙️ Settings & Customization
All components are fully adjustable:
• Lookback periods
• Moving average types and lengths
• Volatility and threshold levels
This makes the indicator suitable for:
• Intraday trading
• Swing trading
• Crypto, Forex, indices, and equities
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Disclaimer
This "Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD)" (DipSig) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signals generated by this tool (both "Buy" and "Sell") are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation
The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation .
It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal.
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Core Concept
1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter
2. Keep the setup active for a limited number of candles
3. Trigger the entry using a MACD bullish crossover
4. Reset after entry to avoid multiple signals from the same setup
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Buy Signal Logic
A buy signal is generated when the following conditions are met:
1. Oversold Setup (filters can be enabled/disabled individually)
• Bollinger Bands %b Oversold (Lookback-based)
The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles.
• RSI Oversold (Lookback-based)
The RSI has dropped below 30 at least once within the last `lookbackRSI` candles.
• DSS (Double Smoothed Stochastic) Reversal Filter
A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions.
Note:
BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event .
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2. MACD Confirmation (Entry Timing)
After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles).
If the MACD confirmation occurs within this window, a buy signal is printed.
If the window expires without confirmation, the setup is discarded automatically.
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Reset Logic
• After a buy signal, the setup is reset immediately
• Only one signal is allowed per setup
• No late entries after the time window expires
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Inputs & Customization
• Enable or disable BB, RSI and DSS filters individually
• Adjust lookback periods to control how recent oversold conditions must be
• Tune the MACD confirmation window to balance early vs. conservative entries
Smaller windows = faster, more aggressive entries
Larger windows = fewer but more confirmed signals
Recommended Markets & Timeframes
• Cryptocurrencies, Forex, Indices, liquid stocks
• Best suited for 1m – 15m scalping
• Also usable on 15m – 1h for slower mean-reversion trades
Visuals
• Buy signals are displayed as labels below the price candles
Important Notes
• This indicator is a signal and timing tool , not a complete trading system
• Always combine with higher-timeframe trend, support/resistance or volume analysis
• Backtesting and paper trading are strongly recommended
Disclaimer:
This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals.
All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent.
The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
RSI adaptive zones with divergencesThis script is modified version of Adaptive RSI,
Thanks to creator of the script, modification is made by cloude code.
RCI Quad Extreme Cross RCI Quad Extreme Cross – Indicator Description
RCI Quad Extreme Cross is a technical analysis indicator designed to detect
potential trend transitions and momentum shifts by monitoring four RCI (Rank Correlation Index) lines simultaneously.
This indicator focuses on convergence and near-cross behavior rather than direct buy/sell signals.
🔹 Core Concept
Displays four RCIs with different periods (short to long term)
Each RCI line is color-coded for clarity
Standard reference levels at +80 / 0 / −80 help identify overbought and oversold conditions
🔹 Dot (Event) Signal Logic
A dot appears when all of the following conditions are met:
Multiple RCI cross events occur within a short bar range
All four RCIs converge within a defined range
The dot is plotted at the average value of the four RCIs
This condition often appears:
Before trend reversals
Prior to range breakouts
During volatility compression / energy buildup phases
⚠️ This is not a direct entry signal, but a contextual alert.
🔹 How to Use
A dot indicates a potential market inflection zone
Combine with:
Price action
Trend direction
Higher timeframe structure
Dots near extreme levels (+80 / −80) or on higher timeframes tend to be more significant
🔹 Best Use Cases
Trend transition awareness
Breakout preparation analysis
Entry filtering and false-signal reduction
⚠ Disclaimer
This indicator is intended for analysis and decision support only.
Always apply proper risk management and confirm signals with your own trading strategy.
CCI Stoch Chikou + Rolling CVD
Signal Tool Using CCI, Stochastics, Lagging Span, and Delta Threshold
CCI, Stochastics, Lagging Span, Delta Threshold Signal Tool
Do not use this tool alone. Confirm support from rising moving averages and pivots (such as the midline) before entering.
For buys, the entry timing is when it dips below 20 and then crosses above the 20 line, but it might be okay if supported by moving averages or similar.
We recommend not changing the Lagging Span to 25.
The default settings exclude the Delta Threshold (%) setting, but check the box if you want to filter.
Ratio (% Value):
If this value exceeds +10%, it means that out of the last 20 trades, 10% net were “buy” trades.
Conversely, -10% indicates “sell” trades are overwhelmingly dominant. When this value is strong, breakouts tend to succeed more easily. Not that I'm taking responsibility for it, though.
Good luck.
End Of MooveINDICATOR: END OF MOOVE (EOM)
1. Overview
The EndOfMoove (EOM) is a specialized volatility analysis tool designed to detect market exhaustion and potential price reversals. By utilizing a modified Williams Vix Fix (WVF) logic, it identifies when fear or selling pressure has reached a statistical extreme relative to recent history.
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2. Core Logic & Calculation
The script functions by measuring the "synthetic" volatility created during sharp price drops and momentum shifts.
* Williams Vix Fix (WVF) Logic: It calculates the distance between the current low and the highest close over a specific lookback period ( 20 bars by default ). This creates a volatility spike during market bottoms or rapid corrections.
* Dynamic Normalization: The indicator continuously tracks the Historical Maximum of this volatility over a long window ( 250 bars ).
* Statistical Thresholding: It sets a "Danger Zone" at a specific percentage ( 75% ) of that historical maximum to filter out noise and isolate significant exhaustion events.
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3. Adaptive Intelligence (Detection & Smoothing)
The EOM adapts to different market conditions through its detection engine:
1. Spike Confirmation: To avoid premature entries, the script uses a confirmation window ( 3 bars ). A signal is only "confirmed" if the current volatility spike is the highest within this local window.
2. Variable Smoothing: Traders can apply an internal SMA smoothing to the raw volatility data to filter out erratic price action on lower timeframes.
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4. Visual Anatomy
The interface uses a high-contrast design to highlight institutional exhaustion:
* The Histogram:
* Faded Gray: Represents standard market volatility. The transparency is dynamic ; it darkens as volatility rises, signaling a buildup in pressure.
* Bright White: Activates when the volatility crosses the Dynamic Threshold , marking a high-probability exhaustion zone.
* The Threshold Line: A continuous horizontal boundary that represents the 75% of historical max , acting as the "Trigger Line."
* Signal Triangles: A small white triangle appears at the top of the indicator when a Volatility Spike is statistically confirmed.
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5. How to Trade with EndOfMoove
* Spotting Bottoms: Large white columns often coincide with "capitulation" phases. When the histogram reaches these levels, the current downward move is likely overextended.
* Divergence Watch: If price makes a new low but the EOM histogram shows a lower spike than the previous one, it indicates that selling pressure is drying up.
* Volatility Breakouts: A sudden transition from faded gray to bright white suggests an impulse move that is reaching its peak velocity.
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6. Technical Parameters
* WVF Period: Controls the sensitivity of the raw volatility calculation.
* Historical Max Period: Determines the depth of the statistical database (50 to 500 bars).
* Threshold %: Allows the trader to tighten or loosen the "Extreme" zone (set to 75% for balanced results).
Anchored VWAP PercentageINDICATOR: ANCHORED VWAP PERCENTAGE (AVWAP)
1. Overview
The Anchored VWAP Percentage (AVWAP) is a quantitative momentum and mean-reversion tool. It measures the percentage distance between the current price and a Volume Weighted Average Price (VWAP) that resets automatically based on specific time cycles. It allows traders to identify overextended market conditions relative to institutional value.
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2. Core Logic & Calculation
The script tracks the relationship between price and volume starting from a specific Anchor Point .
* Volume-Weighted Foundation: Unlike simple moving averages, this indicator uses the VWAP formula: sum(Volume * Price) / sum(Volume) .
* Automatic Anchoring: The starting point (Anchor) resets automatically depending on the chart timeframe (e.g., resets weekly on a 15m chart, or yearly on a Daily chart).
* Percentage Deviation: It calculates the precise gap between the price and the VWAP, plotted as an oscillator: ((Price - VWAP) / VWAP) * 100 .
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3. Adaptive Intelligence (Multi-Asset & Multi-TF)
The AVWAP is built with an internal database of 85th Percentile (P85) volatility thresholds. It recognizes that different assets have different "stretching" limits:
1. Asset-Specific Calibration: It includes optimized data for Bitcoin, Ethereum, Altcoins, Forex, and Indices .
2. Dynamic Timeframe Mapping: The anchor period and the exhaustion thresholds adjust automatically. For example:
* Intraday (1m-5m): Anchors to an 8-hour (480 min) cycle.
* Mid-Term (15m-60m): Anchors to a Weekly (W) cycle.
* Swing (Daily): Anchors to a Yearly (12M) cycle.
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4. Visual Anatomy
The indicator is designed for high-speed decision-making:
* The Histogram:
* Green: Price is trading above the VWAP (Bullish premium).
* Red: Price is trading below the VWAP (Bearish discount).
* P85 Threshold Lines:
* These lines represent the 85th percentile of historical deviations . Historically, the price stays within these boundaries 85% of the time.
* Background Highlighting: When the histogram crosses the P85 line, the background glows, signaling a Statistical Exhaustion Zone where a retracement to the mean is highly probable.
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5. How to Trade with AVWAP
* Mean Reversion: When the histogram reaches the P85 Zone , the price is "statistically overextended." This is a prime area to look for reversals or to take profits on existing trends.
* Trend Strength: If the histogram stays near the Zero Line while the price moves, the trend is supported by healthy volume.
* Value Area: The Zero Line represents the Fair Value . Buying near the Zero Line during a bullish histogram (Green) offers a high-probability entry with low risk.
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6. Technical Parameters
* Asset Selection: A dropdown to switch between Crypto, Forex, and Indices.
* Color Customization: User-defined colors for bullish and bearish sentiment.
* Precision Control: 4-decimal precision for accurate tracking of thin-margin assets like Forex.
CNE - Efficient Swing Structure + MomentumThe CNE Efficient Swing Structure and Momentum indicator is a sophisticated technical analysis tool designed to quantify the strength and exhaustion of price movements relative to genuine market structure rather than arbitrary time constraints. Unlike traditional oscillators that reset based on a fixed number of candles, this indicator anchors its calculations to confirmed structural pivots. The foundation of the system is a volatility-adaptive swing detection algorithm that utilizes the Average True Range (ATR) to filter out insignificant noise. A trend change is only registered when price retraces against the current direction by a user-defined multiple of the ATR, ensuring that the tool remains locked onto the prevailing trend until a statistically significant reversal occurs. This mechanism allows the trader to view momentum as a cumulative force continuously building from a verified low or high, providing a pure view of the current leg's intensity.
Once a structural anchor is established, the indicator calculates the "Pivot-to-Pivot" momentum, displaying the percent change from the start of the trend to the current price. This creates a zero-based oscillator where the zero line represents the structural origin—the absolute bottom of the current uptrend or the absolute top of the current downtrend. To contextualize this raw data, the script overlays dynamic statistical bands based on standard deviations. These bands function similarly to Bollinger Bands but are applied to the momentum of the swing itself. When the momentum histogram pushes into the outer deviation bands, specifically beyond two standard deviations, it signals that the current move is statistically overextended relative to the asset's recent volatility profile. This helps traders distinguish between a healthy, sustainable trend and a climactic move that is prone to a mean-reversion snapback.
A critical feature of this system is its ability to visualize the "average extension" of market moves, providing an immediate benchmark for trade management and target setting. The indicator plots two distinct sets of lines for both upward extensions and downward drawdowns without relying on heavy historical arrays, ensuring optimal computational efficiency. The first is a solid step-line representing the historical average of all past swings, serving as a long-term baseline for what constitutes a "normal" move. The second is a dotted marker representing a recency-weighted average, heavily biased toward the last five swings. By comparing these two lines, a trader can instantly gauge the changing market regime; if the recent weighted average is expanding away from the historical baseline, volatility is increasing, whereas a contracting recent average suggests the market is entering a period of compression.
Finally, the indicator integrates automated divergence detection based on structural flips rather than simple candle-to-candle comparisons. It records the peak momentum value of every completed trend leg and compares it to the peak of the previous leg in the same direction. If price makes a new structural high but the momentum oscillator fails to surpass the peak of the previous uptrend leg, a bearish divergence is flagged. Conversely, if price pushes to a new structural low with weaker downside momentum than the prior drop, a bullish divergence is highlighted. This combination of volatility-filtered structure, statistical deviation bands, efficiency-optimized extension targets, and structural divergence creates a comprehensive framework for assessing the probability of trend continuation versus reversal.
Accumulative Swing Cloud [MarkitTick]💡This indicator presents a modernized hybrid approach to J. Welles Wilder’s classical Accumulative Swing Index (ASI). While the traditional ASI is often viewed as a simple line oscillator used to confirm price breakouts, the Accumulative Swing Cloud reconstructs this concept into a dynamic trend-following system. By smoothing the raw ASI data into multiple moving average layers, this script creates a "Cloud" structure that visualizes the strength, direction, and momentum of the swing index, effectively treating the ASI value itself as a tradeable price action entity.
● Originality and Utility
The standard Accumulative Swing Index is a powerful tool for seeing through the "noise" of open, high, low, and close prices to find the real trend. However, looking at a raw ASI line can be jagged and difficult to interpret for sustained trends. This script innovates by applying "Cloud Dynamics" to the ASI. It calculates three distinct moving averages (Fast, Mid, and Slow) of the ASI value itself. The area between the Fast and Slow averages is filled with a dynamic gradient color. This allows traders to not only see the trend direction (Bullish or Bearish) but also gauge the volatility and strength of the move based on the expansion or contraction of the cloud's width. Additionally, this version introduces an optional Volume Integration feature, allowing the Swing Index calculations to be weighted by relative volume, giving more significance to moves backed by high market participation.
● Methodology and Calculations
The core of this indicator relies on the Swing Index calculation. It compares the current bar's Open, High, Low, and Close against the previous bar's values to derive a variable "R" (a measure of the market's range).
The script determines the largest price movement (K) among the High-Close, Low-Close, and High-Low ranges.
It calculates the "R" value based on the relationship between the daily range and the gap between the prior close and current open.
A Swing Index (SI) value is derived using the Limit Move value (T), the defined Multiplier, and the calculated R and K values.
This SI is accumulated into a running total (ASI State).
If Volume Integration is enabled, the SI is multiplied by a Volume Factor (Current Volume divided by Average Volume), capped at 3.0 to prevent outlier distortion.
● Visual Guide
The indicator plots several key visual elements on the chart:
Cloud Fast (Green Line): Represents the shorter-term moving average of the Accumulative Swing Index.
Cloud Slow (Red Line): Represents the longer-term moving average.
Cloud Fill (Gradient Area): The space between the Fast and Slow lines.
Green Gradient: Indicates the Fast MA is above the Slow MA (Bullish Trend).
Red Gradient: Indicates the Fast MA is below the Slow MA (Bearish Trend).
Gradient Intensity: The opacity of the color scales dynamically based on the width of the cloud relative to its recent historical maximum. A wider cloud (stronger trend/higher volatility) appears more solid, while a narrow cloud appears more transparent.
ASI Line (Color-Coded Line): The thick line represents the current raw Accumulative Swing Index value. It changes color (Green/Red) based on its position relative to the Signal Line.
Signal Line (Gray Line): A Simple Moving Average of the ASI Line, acting as a trigger for immediate reversals.
Bar Coloring: The main price candles are colored to match the current state of the Cloud (Green for Bullish Cloud, Red for Bearish Cloud).
● How to Use
Trend Identification: Use the Cloud color to determine the primary trend. A Green Cloud suggests an uptrending market structure, while a Red Cloud suggests a downtrend.
Entry Signals: Traders often look for the "ASI Line" to cross the "Signal Line" in the direction of the Cloud. For example, if the Cloud is Green, a crossover of the ASI Line above the Signal Line is a bullish confirmation.
Cloud Crossovers: A crossover of the Fast and Slow Cloud lines represents a major structural shift in the Accumulative Swing Index trend.
Volatility Filter: Pay attention to the gradient intensity. A very narrow (transparent) cloud indicates low momentum or consolidation, while a widening (solid) cloud indicates expanding momentum.
● Inputs and Settings
ASI Core Engine: Configure the Daily Limit (T) and Multiplier to tune the sensitivity of the Swing Index calculation.
Volume Integration: Toggle "Weight ASI by Volume" to factor in volume spikes. Adjust "Volume Avg Length" to define the baseline volume.
Cloud Dynamics: Choose the Moving Average type (EMA, SMA, RMA, WMA) and set the Fast, Mid, and Slow lengths to customize the cloud's reactivity.
Visual Enhancements: Toggle "Color Candles by Cloud Width" to apply the gradient coloring directly to the price bars.
● 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.
Momentum Clarity Engine📘 Description - Momentum Clarity Engine
Momentum Clarity Engine (MC-Engine) is a visual momentum-context indicator designed to help traders clearly identify trend direction, momentum strength, and low-quality market conditions using a disciplined combination of MACD and RSI.
Rather than generating buy or sell signals, MC-Engine focuses on clarity and risk control by visually classifying price action into intuitive momentum states and highlighting periods where trading conditions are unfavorable.
🔍 How it works
The indicator combines:
MACD Histogram → momentum direction and strength
RSI → bullish vs bearish pressure balance
Based on this confluence, price candles are colored to reflect market state:
Strong Bullish Momentum → Dark Green (solid)
Weak Bullish Momentum → Light Green (transparent)
Strong Bearish Momentum → Dark Red (solid)
Weak Bearish Momentum → Light Red (transparent)
No-Trade Zone → Muted Orange (high transparency)
Candle opacity dynamically adapts to MACD histogram strength, allowing traders to visually sense when momentum is expanding, weakening, or lacking conviction.
🟠 No-Trade Zone (Key Feature)
The No-Trade zone highlights periods of:
Low momentum
RSI balance / indecision
Choppy or transitional price action
These conditions often result in poor risk-reward.
The muted orange color is intentionally designed to encourage patience and discipline.
✅ How to use MC-Engine
MC-Engine is best used as a trade filter and context tool, not as a standalone strategy.
Common use cases:
Confirming trend strength before entries
Avoiding trades during low-momentum chop
Filtering breakouts and pullbacks
Intraday trading on 1-minute to 15-minute charts
Futures, indices, equities, and crypto markets
Recommended to pair with:
Market structure
Trendlines
VWAP
Support & resistance
Higher-timeframe context
⚠️ Important Notes
This indicator does not provide buy or sell signals
No repainting or future-looking logic
Designed for educational and analytical purposes only
Always apply proper risk management
🧠 Philosophy
The goal is not to trade more —
the goal is to trade when conditions are clear.
Momentum Clarity Engine helps traders participate during strong momentum and stand aside during uncertainty.
Smart Signals [Vdubus]Smart Signals
Concept & Philosophy
Smart Signals is a "Regime-Filtered" oscillator designed to solve the biggest problem with standard indicators: Counter-trend noise.
Most oscillators (like Stochastic or RSI) are "dumb" to market context—they will signal "Sell" continuously during a strong uptrend simply because the price is high. Smart Signals fixes this by first determining the Market Regime (Bullish or Bearish) and then strictly filtering out any signal that contradicts that trend.
It creates a "Tiered" trading system that separates standard trend-following entries from high-probability "Sniper" entries (Hidden Divergence), all presented in a clean, color-blind-friendly visual interface.
Core Functions
1. The "Sheriff" (Trend Filter)
At the heart of the indicator is a heavy, modified Hull Moving Average (HMA 200) that acts as the trend baseline.
Bullish Regime: When the baseline is sloping UP, the indicator enters "Buy Only" mode. All Sell signals are mathematically deleted.
Bearish Regime: When the baseline is sloping DOWN, the indicator enters "Sell Only" mode. All Buy signals are mathematically deleted.
The Math: It uses a custom difference-weighted formula (wmaHalf = Length / 1) to create a stable, chop-resistant trend anchor.
2. Dual-Signal Engine
The indicator scans for two distinct types of entries simultaneously:
♦ Standard Signals (Blue/Red Diamonds):
Logic: A classic Stochastic pullback (Cross 20/80) aligned with the trend.
Use Case: These are frequent "Bread and Butter" trend entries. They are excellent for scaling into a position or adding to a winner as the trend continues.
Location: Plotted at the top (Sell) and bottom (Buy) edges of the panel.
+ Sniper Signals (Gold Crosses):
Logic: Hidden Divergence. The script detects when Price holds structure (Higher Low) while Momentum resets (Lower Low). This is a "Slingshot" setup.
Use Case: These are rare, high-conviction entries. They often mark the end of a complex correction and the resumption of the main trend.
Location: Plotted on the Zero Line to indicate structural strength.
3. Smart Momentum Histogram
The histogram visualizes the "Energy" of the move (MACD 21, 34, 7), but with a twist. It is color-coded to the signal priority:
Gold Bars: A Sniper (Divergence) setup is active.
Solid Blue/Red Bars: A Standard Signal is active.
Faded Blue/Red Bars: The trend is active, but momentum is resetting (waiting mode).
Gray Bars: Counter-trend noise (Ignore).
How to Trade It
Check the "Road": Look at the general color of the histogram columns.
Blue Columns: Look for Longs.
Red Columns: Look for Shorts.
The "Sniper" Entry: Wait for a Gold Cross (+) on the zero line. This is your primary signal to enter a trade with normal risk.
The "Pyramid" Entry: If the trend continues and you see Blue/Red Diamonds (♦) appear at the edges, these are safe places to add to your position.
The Exit: Since this is a trend-following tool, exit when the histogram color flips (e.g., from Blue to Red/Gray), or use your own support/resistance targets.
Alerts Configuration
The indicator comes with a full suite of alerts for automation:
Gold Buy / Gold Sell: Notifies you only for the high-probability Hidden Divergence setups.
Standard Buy / Standard Sell: Notifies you for every trend pullback.
ANY BUY / ANY SELL: A combo alert that triggers on either signal type (useful for simplifying your alert limits).
Accessibility
Color Blind Friendly: The default palette uses High-Contrast Blue (#2962FF) and Soft Red (#FF5252) instead of standard Green/Red, ensuring visibility for all users.
Zero Clutter: No text labels or confusing lines. Just clear, distinct shapes (Diamonds and Crosses) at fixed locations.
