EMA Trend Dash Board by [Itto Ryu]# EMA Trend Dash Board — Trend stage classifier on a 5-EMA stack
A pure-EMA trend dashboard. Five exponential moving averages (10/20/50/100/200)
plus three derived signals — stack alignment, EMA50 slope, and the fast-vs-trend
gap — classify the market into one of four trend stages: ACCEL → MATURE → DECEL
→ REVERSAL. A 0-to-100 Bull/Bear score and a state-machine VERDICT row summarise
all of it in a single glance.
## What's different from a generic EMA ribbon
Most EMA-ribbon scripts only colour the EMAs. This one adds:
1. **Stage classification** — instead of "trending vs ranging", the script tells
you *where in the trend you are*. Stage 1 (ACCEL) is for adds; Stage 3 (DECEL)
warns to trim; Stage 4 (REVERSAL) tells you the stack has lost alignment.
2. **Bull/Bear score (0–100)** — composed of:
- Price-above-EMA: 8 pts each (max 40)
- Stack-pair ordering: 10 pts each (max 40)
- Trend-EMA slope direction: 10 pts
- Gap expansion (only when stack aligned): 10 pts
3. **Verdict state machine** — combines stage + score into one action label
(STRONG SETUP, SIGNAL CLEAR, TREND ACCEL, EASE, WATCH, EXIT, ...).
## Defaults (and why)
| Input | Default | Reasoning |
|---|---|---|
| EMA lengths | 10 / 20 / 50 / 100 / 200 | Classic Stan Weinstein / Mark Minervini ladder |
| Slope/Gap lookback | 5 bars | Catches turns without over-smoothing on intraday |
| Slope flat threshold | 0.1% | Below this magnitude the trend EMA is treated as flat — avoids false up/down on chop |
| Gap expansion threshold | 0.05% | Min change in |gap| to count as expanding/compressing |
| Dashboard | top_right, normal | Standard placement; tiny/small for low-res screens |
## Visual elements
| Element | Meaning |
|---|---|
| 5 EMA lines | EMA 1 (fast, yellow) → EMA 5 (long, slate). EMA 3 (Trend, pink) drawn thicker as the slope reference |
| Fast-Trend fill | Green when EMA1 > EMA3, red otherwise. Quick visual on momentum direction |
| Right-edge labels | EMA name tags at the latest bar |
| Dashboard | Trend / EMA Stack / Trend Dynamics / Scoring / Signal / Verdict sections |
## Who this is for
- Trend-following swing traders who already use EMA stacks but want a state read-out
- Discretionary traders who want a "what stage am I in?" check without staring at the chart
- Anyone replacing 3-4 separate EMA indicators with one consolidated dashboard
## Who this is NOT for
- Pure mean-reversion / range traders — EMAs are the wrong tool
- Tick scalpers — the stage/gap thresholds are tuned for swing+intraday, not sub-minute
- Anyone needing entry/exit signals automated — this is a *read-out*, not a strategy
## How to use
1. Apply on standard candle chart, any timeframe (works best 15m → Daily)
2. Read the **Stage** row first — that's your context
3. Cross-check with **Verdict** row — that's your action
4. The Bull/Bear bars give a confidence reading; the SIGNAL row gives the discrete label
5. Configure alerts on STRONG Long/Short or Stack Broken for hands-off monitoring
## Common mistakes
- **Entering on Stage 4 just because Verdict says STRONG SETUP** — Stage 4 = stack lost alignment, by design it forces a re-check. Wait for re-alignment.
- **Reading dashboard on Heikin Ashi** — EMAs are calculated on HA close (a smoothed value), not real close. Numbers will not match a standard-chart EMA. Use standard candles for the dashboard.
- **Tuning EMA lengths for one symbol and assuming portability** — re-test on each instrument; trend EMAs are regime-dependent.
## Disclosure
- **Pine version**: v6
- **Repaint**: NO — all calculations use confirmed-bar data. Dashboard and right-edge labels refresh on the last bar (cosmetic only) and do not modify historical bars.
- **Lookahead**: NONE — no `request.security` calls.
- **Chart type**: Designed for standard candle charts. On Heikin Ashi / Renko / Range / PnF / Kagi the EMA values are calculated against the chart's synthetic close and will not match a standard-chart EMA.
- **Originality**: Generic 5-EMA inputs; novel additions are the Stage classifier, Bull/Bear scoring weights, and Verdict state machine.
- **Predecessor**: Extracted from the author's earlier "Ichimoku Trend Dash Board" (Ichimoku + EMA combined). This EMA-only variant strips Ichimoku, ADX, RSI, MACD, and SL/TP logic for a focused trend-stage read.
## Disclaimer
For educational purposes only. Not financial advice. Trading involves
substantial risk of loss — past performance does not guarantee future results.
You are solely responsible for your own trading decisions. Script provided
"as is" with no warranty; author is not liable for any losses. Indicator
Volume Conviction Index v1.0Volume Conviction Index (VCI) v1.0
This indicator helps answer a simple question: Does this price move have real strength behind it, or is the volume too weak to trust???
It measures "conviction" through how many participants are in the marketplace by looking at volume in a smart, reliable way:
- Spots unusual volume surges (buying or selling pressure) that stand out from normal (median line plotted) levels.
- visually helps with discretionary calls and allows the median avg of participation not just volume to be 'seen'
- Blends recent volume changes with how volume compares to its typical range.
How to read the chart (super straightforward):
- Teal columns above the zero line: Strong buying conviction — volume supporting the up move (good sign for breakouts or holds).
- Orange columns below zero: Strong selling conviction — heavy participation on the downside (watch for reversals or weakness on rallies).
- Flat/small bars near zero: Low conviction — price might be moving on fumes (often leads to fakeouts or quick fades).
- Optional white dashed line (the "median conviction"): A smoothed version over the last few bars. If it crosses zero or diverges from price, it can signal shifting momentum.
index works the same for both bears and bulls. teal bars in the positive are above participation or conviction in both bearish and bullish participation. also allows identifying exhaustion in both bearish and bullish scenarios.
works well equally on lower TFs and higher TFs
Why use it:
It uses robust statistics (rolling median volume + Median Absolute Deviation for a "z-like" score) instead of plain averages — much better at handling noisy or outlier-heavy markets like crypto, forex, or stocks during news events. Then it adds a weighted mix of short-term volume acceleration and relative volume for better context.
Great for:
- Beginners: Start with defaults — the colors and zero line make it easy to see at a glance.
- Day/swing traders: Filter entries/exits with real participation (e.g., teal spike on support bounce = higher odds).
- Anyone learning volume: Shows clearly when moves have "muscle" vs. when they're suspect.
Quick usage tips:
- Best on 5m to 4h charts with good volume data.
- Combine with price action, levels, or your favorite tools — use VCI to confirm conviction.
- Toggle the median line in settings if your timeframe is noisy.
Defaults work well across most assets — adjust "Volume Window" for longer/shorter lookback, or "Recent Weight" to emphasize sudden changes more/less.
I personally like using it on 1min / 5min / 30min charts. Has a microscope / high-rez feel about it when I'm on quicker TFs.
Open-source under © RU55IANROUL3TT3 — feel free to study, fork, or build on it!
Feedback welcomed — what markets/timeframes does it help you with? Indicator
EDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring SystemEDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring System
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█ ORIGINALITY
This indicator combines QQE (Quantitative Qualitative Estimation) with HMA (Hull Moving Average) and introduces a unique AI-based scoring system that rates signal quality from 0-100. Unlike traditional QQE indicators that show simple buy/sell signals, this version categorizes signals into four strength levels: BIG CHANCE, SUPER, POWER, and STRONG.
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█ WHAT IT DOES
- Generates scored BUY/SELL signals with quality ratings (60-100 points)
- Categorizes signals into 4 strength levels for easy decision making
- Supports Multi-Timeframe (MTF) analysis
- Auto-detects asset type and applies optimized QQE factors
- Provides customizable alerts based on score thresholds
Signal Hierarchy:
- 💰 BIG CHANCE (90-100): Highest probability setups
- ⚡ SUPER (80-89): Very strong signals
- 🚀 POWER (70-79): Strong signals with HMA confluence
- 💪 STRONG (60-69): Standard quality signals
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█ HOW IT WORKS
【QQE Calculation】
QQE is based on a smoothed RSI with dynamic bands:
1. Calculate RSI with specified period (default: 14)
2. Apply EMA smoothing to RSI (Smoothing Factor, default: 5)
3. Calculate ATR of the smoothed RSI
4. Create dynamic bands: RSI ± (ATR × QQE Factor)
The QQE Factor is automatically adjusted per asset:
- Forex (USDJPY, EURUSD): 3.8 - 4.238
- Gold (XAUUSD): 8.0
- Crypto (BTC): 12.0, (ETH): 10.0
- Indices (NASDAQ): 4.238
【HMA Calculation】
Hull Moving Average for trend confirmation:
HMA = WMA(2 × WMA(price, n/2) - WMA(price, n), √n)
【Signal Generation】
- BUY: QQE crosses above its band (QQExlong == 1)
- SELL: QQE crosses below its band (QQExshort == 1)
【AI Scoring System】
The score is calculated from multiple factors:
Signal Base (0-35 points):
- QQE + HMA confluence: +35
- QQE or HMA alone: +25
QQE Strength (10-25 points):
- RSI distance from 50 (momentum strength)
- >30 distance: +25, >20: +20, >10: +15, else: +10
Volatility Score (-10 to +15 points):
- ATR ratio 1.1-2.0: +15 (optimal volatility)
- ATR ratio <0.8: -10 (low volatility warning)
Volume Confirmation (-5 to +15 points):
- Volume > 120% of average: +15
- Volume < 80% of average: -5
Base Points: +15
Final Score = Clamped(0, 100, sum of all factors)
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 5M, 15M, 1H, 4H
- Best on: Forex, Gold, NASDAQ, BTC/ETH
- Minimum Score: 60 (adjustable)
【Reading Signals】
- BIG CHANCE (Gold label, 90+): Highest conviction - consider larger position
- SUPER (Yellow label, 80-89): Very strong - standard position
- POWER (Cyan/Magenta label, 70-79): Strong with trend confirmation
- STRONG (Green/Red label, 60-69): Valid but use additional confirmation
【MTF Feature】
Enable MTF to analyze signals from a higher timeframe while viewing lower timeframe charts. The indicator auto-selects 5-minute as the analysis timeframe, or you can set it manually.
【Alert Setup】
1. Enable alerts in settings
2. Set minimum score threshold (default: 60)
3. Create alert with "Any alert() function call"
【Important Notes】
- Signals are confirmed at bar close (no repainting)
- Higher scores = higher probability, not guaranteed profits
- Always use proper risk management
- Consider market context and support/resistance levels
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█ SETTINGS
⏱️ MTF Settings
- MTF Use: Enable multi-timeframe analysis
- Manual Timeframe: Override auto-detection
- Show Panel: Display info panel (default: OFF)
🎨 Design
- Neon Colors: Vibrant color scheme
- Show HMA Line: Display HMA on chart
- Minimum Score: Filter weak signals
- Label Transparency: Adjust label opacity
- Large Labels: Mobile-friendly sizing
🔧 QQE Settings
- RSI Period: RSI calculation period
- Smoothing: EMA smoothing factor
- AI Score: Enable scoring system
🔔 Alerts
- Enable Alerts: Turn on/off notifications
- Minimum Score: Alert threshold
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█ CREDITS
QQE concept originally developed by John Ehlers.
HMA (Hull Moving Average) by Alan Hull.
Enhanced with scoring system and MTF support by EduVest.
License: Mozilla Public License 2.0 Indicator
Indicator
POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV)
Version: PineScript™v6
📌Description
The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss.
POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously.
The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities.
🚀Points of Innovation
Micro-POC calculation using advanced OHLC-based volume distribution estimation
Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency
Persistence scoring system that quantifies directional consistency over multiple periods
Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts
Dynamic color-coded visualization system with intensity-based feedback
Comprehensive customization options for resolution, periods, and thresholds
🔧Core Components
POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms
Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization
Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration
Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting
Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation
Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships
🔥Key Features
Real-time POC calculation with 10-100 configurable price bands for optimal precision
Velocity tracking with customizable lookback periods from 5 to 50 bars
Acceleration measurement for detecting momentum changes in POC movement
Persistence scoring to validate signal strength and filter false signals
Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions
Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps
Adjustable information table displaying real-time metrics and current signals
Heat ribbon visualization showing price-POC relationship intensity
Multiple threshold settings for customizing signal sensitivity
Export capability for use with separate panel indicators
🎨Visualization
POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude
Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity
Signal Markers: Clear exhaustion top/bottom signals with labeled shapes
Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status
Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions
📖Usage Guidelines
POC Calculation Settings
POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar
Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation
POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise
Velocity Settings
Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity
Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration
Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals
Persistence Settings
Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation
Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals
Visual Settings
Show POC Connecting Lines: Toggle display of colored lines connecting POC levels
Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship
Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon
Alert Settings
Enable Continuation Alerts: Toggle alerts for continuation pattern detection
Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection
Enable POC Gap Alerts: Toggle alerts for significant POC gaps
Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts
✅Best Use Cases
Identifying trend continuation opportunities when POC velocity aligns with price direction
Spotting potential reversal points through exhaustion pattern detection
Confirming breakout validity by monitoring POC gap behavior
Adding volume-based context to traditional technical analysis
Managing position sizing based on POC-price basis strength
⚠️Limitations
POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution
Effectiveness may vary in low-volume or highly volatile market conditions
Requires complementary analysis tools for complete trading decisions
Signal frequency may be lower in ranging markets compared to trending conditions
Performance optimization needed for very short timeframes below 1-minute
💡What Makes This Unique
Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data
Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels
Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator
Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions
Persistence Validation: Unique scoring system to filter signals based on directional consistency
🔬How It Works
Volume Distribution Estimation:
Divides each bar into configurable price bands for volume analysis
Applies sophisticated weighting based on OHLC relationships and proximity to close
Identifies the price level with maximum estimated volume as the POC
Velocity and Acceleration Calculation:
Measures POC rate of change over specified lookback periods
Normalizes values using ATR for consistent cross-market performance
Calculates acceleration as the rate of change of velocity
Signal Generation Process:
Combines trend direction analysis using EMA crossovers
Applies velocity and persistence thresholds to filter signals
Generates continuation, exhaustion, and gap alerts based on specific criteria
💡Note:
This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions. Indicator
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