Trend & Strength Detector TSDTrend Strength Detector (TSD)
*Objective Trend Quality Measurement for Educational Market Analysis*
Note: This mathematical framework is a proprietary quantitative model developed by Ario Pinelab, inspired by classical EMA, ADX, RSI and MACD principles, yet not documented in any public technical or academic publication.
## 🎯 Purpose & Design Philosophy
The ** Trend Strength Detector- TSD ** is an educational research tool that provides **quantitative measurement of trend quality** through two independent scoring systems (0-100 scale). It answers the analytical question: *"How strong and aligned is the current market trend environment?"*
This indicator is designed with a **modular, complementary approach** to work alongside various analysis methodologies, particularly pattern-based recognition systems.
## 🔗 Complementary Research Framework
### Designed to Work With Pattern Detection Systems
This indicator provides **environmental context measurement** that complements qualitative pattern recognition tools. It works particularly well alongside systems like:
- **RMBS Smart Detector - Multi-Factor Momentum System**
- Traditional chart pattern analyzers
- Any momentum-based pattern identification tools
🔍 **To find RMBS Smart Detector:**
- Search in TradingView Indicators Library: `" RMBS Smart Detector - Multi-Factor Momentum System"`
- Look for: *Multi-Factor Momentum System*
- By author: ` `
### Why This Complementary Approach?
**Trend Quality Measurement** (TSD - this tool) provides:
- ✅ Structural trend alignment (0-100 score)
- ✅ Momentum intensity levels (0-100 score)
- ✅ Environment classification (Strong/Moderate/Weak)
- 📌 **Answers:** *"HOW STRONG is the underlying trend environment?"*
### Educational Research Value
When used together in a research context, these tools enable systematic study of questions like:
- How do reversal patterns behave when Strength Score is above 70 vs below 30?
- Do continuation patterns in weakening environments (declining scores) show different characteristics?
- What is the correlation between high Alignment Scores and pattern "success rates"?
- Can environment classification help identify genuine trend initiation vs false starts?
⚠️ **Important Note:** Both tools are **independent and work standalone**. TSD provides value whether used alone or with other analysis methods. The relationship with RMBS (or any pattern tool) is **complementary for research purposes**, not dependent.
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###Mathematical Foundation
##TSA Formula: scoring method developed by Ario
-Trend Model (0 – 100)
TAS = EMA Alignment (0–40) + Price Position (0–30) + Trend Consistency (0–30)
EMA Alignment checks EMA_fast vs EMA_slow vs EMA_trend structure.
Price Position evaluates if Close is above/below all EMAs.
Consistency = 3 × max(bullish,bearish bars within 10 candles).
-Strength Model (0 – 100)
Strength = ADX (0–50) + EMA Slope (0–25) + RSI (0–15) + MACD (0–10)
ADX measures trend energy; Slope shows EMA momentum %;
RSI assesses zone positioning; MACD confirms directional agreement.
Note: This formula represents a proprietary quantitative model by Ario_Pinelab, inspired by classical technical concepts but not published in any external reference.________________________________________
📊 Environment Classification
Based on Total Strength Score:
🟢 Strong Environment: Score ≥ 60
→ Well-defined momentum, clear directional bias
🟡 Moderate Environment: 40 ≤ Score < 60
→ Mixed signals, transitional conditions
🔴 Weak Environment: Score < 40
→ Ranging, choppy, low conviction movement
Color Coding:
• Green background: Strong (≥60)
• Yellow background: Moderate (40-59)
• Red background: Weak (<40)
________________________________________
📈 Visual Components
Main Chart Display
Score Labels (Top-Right Corner):
┌─────────────────────────────────┐
│ 📊 Alignment: 75 | Strength: 82 │
│ Environment: Strong 🟢 │
└─────────────────────────────────┘
Color-Coded Background:
• Environment strength visually indicated via background color
• Helps quick identification of market regime
• Customizable transparency (default: 90%)
Reference Lines:
• Dotted line at 60: Strong/Moderate threshold
• Dotted line at 40: Moderate/Weak threshold
• Mid-line at 50: Neutral reference
________________________________________
🔧 Customization Settings
Input Parameters
The best setting is the default mode.
🚫 Important Disclaimers & Limitations
What This Indicator IS:
✅ Educational measurement tool for trend quality research
✅ Quantitative assessment of current market environment
✅ Complementary analysis tool for pattern-based systems
✅ Historical data analyzer for systematic study
✅ Multi-factor scoring system based on technical calculations
What This Indicator IS NOT:
❌ NOT a trading system or signal generator
❌ NOT financial advice or trade recommendations
❌ NOT predictive of future price movements
❌ NOT a guarantee of pattern success/failure
❌ NOT a substitute for comprehensive risk management
________________________________________
Known Limitations
1. Lagging Nature:
⚠️ All components (EMA, ADX, RSI, MACD) are calculated
from historical price data
→ Scores reflect CURRENT and RECENT conditions
→ Cannot predict sudden reversals or black swan events
→ Trend measurements lag actual price turning points
2. Whipsaw Risk:
⚠️ In choppy/ranging markets, scores may fluctuate rapidly
→ Moderate zone (40-60) can see frequent transitions
→ Low timeframes more susceptible to noise
→ Consider higher timeframes for stable measurements
3. Component Conflicts:
⚠️ Individual components may disagree
→ Example: Strong ADX but weak RSI alignment
→ Scores average these conflicts (may hide nuance)
→ Check individual components for deeper insight
4. Not Predictive:
⚠️ High scores do NOT guarantee continuation
⚠️ Low scores do NOT guarantee reversal
→ Measurement ≠ Prediction
→ Use for CONTEXT, not SIGNALS
→ Combine with comprehensive analysis
________________________________________
Risk Acknowledgments
Market Risk:
• All trading involves substantial risk of loss
• Past performance (even systematic studies) does not guarantee future results
• No indicator, system, or methodology can eliminate market risk
Measurement Limitations:
• Scores are mathematical calculations, not market predictions
• Environmental classification is descriptive, not prescriptive
• Strong measurements can deteriorate rapidly without warning
Educational Purpose:
• This tool is designed for LEARNING about market structure
• Not designed, tested, or validated as a standalone trading system
• Any trading decisions are user’s sole responsibility
No Warranty:
• Indicator provided “as-is” for educational purposes
• No guarantee of accuracy, reliability, or profitability
• Users must verify calculations and apply critical thinking
Open Source
Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome.
“All logic is presented for research and educational visualization.”
---
A-trend
ADX Trend Strength Filter + TRAMA [DotGain]Summary
Are you tired of trading trend signals, only to get stopped out in volatile, sideways chop?
The ADX Trend Strength Filter (ADX TSF) is designed to solve this exact problem. It is a comprehensive trend-following system that only generates signals when a trend not only has the right direction and momentum, but also sufficient strength.
This indicator filters out weak or indecisive market phases (the "chop") and will only color the bars Green or Red when all conditions for a strong, confirmed trend are met.
⚙️ Core Components and Logic
The ADX TSF relies on a triple-filter logic to generate a clear trade signal:
Trend Filter (TRAMA): A TRAMA (Trending Adaptive Moving Average) is used as the main trendline. This adaptive average automatically adjusts to market volatility, acting as a dynamic support/resistance level.
Price > TRAMA = Bullish
Price < TRAMA = Bearish
Momentum Filter (RSI Crossover): Momentum is measured by a crossover of two moving averages of the RSI (a fast EMA and a slow SMA). This confirms whether the momentum is pointing in the same direction as the trend.
Strength Filter (ADX): This is the most important filter. A signal is only considered valid if the ADX (Average Directional Index) is above a defined threshold (Default: 30). This ensures the trend has sufficient strength.
🚦 How to Read the Indicator
The indicator has three states, displayed directly as bar colors on your chart:
🟩 GREEN BARS (Strong Uptrend) All three conditions are met:
Price is above the TRAMA.
RSI momentum is bullish (Fast MA > Slow MA).
ADX is above 30 (Strong trend is present).
🟥 RED BARS (Strong Downtrend) All three conditions are met:
Price is below the TRAMA.
RSI momentum is bearish (Fast MA < Slow MA).
ADX is above 30 (Strong trend is present).
🟧 ORANGE BARS (Neutral / Caution) This state appears if any of the following conditions are true:
Weak Trend: The ADX is below 30. The market is in consolidation or a sideways phase. (This is the primary filter!)
Indecision: The price is caught in the "Neutral Zone" between the TRAMA and the 200 SMA.
Visual Elements
Bar Colors: (Green/Red/Orange) Show the current trend status.
TRAMA (Orange Line): Your primary adaptive trendline.
200 SMA (White Line): Serves as a reference for the long-term trend.
Orange Background (Fill): Fills the area between the TRAMA and SMA to visually highlight the "Neutral Zone."
Key Benefit
The goal of the ADX TSF is to keep traders out of weak, unpredictable markets and help them participate only in strong, momentum-confirmed trends.
Have fun :)
Disclaimer
This "Buy The F*cking Dip" (BTFD) 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.
VWAP Kalman FilterOverview
This indicator applies Kalman filtering techniques to Volume Weighted Average Price (VWAP) calculations, providing a statistically optimized approach to VWAP analysis. The Kalman filter reduces noise while maintaining responsiveness to genuine price movements, addressing common VWAP limitations in volatile or low-volume conditions.
Technical Implementation
Kalman Filter Mathematics
The indicator implements a state-space model for VWAP estimation:
- Prediction Step: x̂(k|k-1) = x̂(k-1|k-1) + v(k-1)
- Update Step: x̂(k|k) = x̂(k|k-1) + K(k)
- Kalman Gain: K(k) = P(k|k-1) / (P(k|k-1) + R)
Where:
- x̂ = estimated VWAP state
- K = Kalman gain (adaptive weighting factor)
- P = error covariance
- R = measurement noise
- Q = process noise
- v = optional velocity component
Core Components
Dual VWAP System
- Standard VWAP: Traditional volume-weighted calculation
- Kalman-filtered VWAP: Noise-reduced estimation with optional velocity tracking
- Real-time divergence measurement between filtered and unfiltered values
Adaptive Filtering
- Process Noise (Q): Controls adaptation to price changes (0.001-1.0)
- Measurement Noise (R): Determines smoothing intensity (0.01-5.0)
- Optional velocity tracking for momentum-based filtering
Multi-Timeframe Anchoring
- Session, Weekly, Monthly, Quarterly, and Yearly anchor periods
- Automatic Kalman state reset on anchor changes
- Maintains VWAP integrity across timeframes
Features
Visual Components
- Dual VWAP Lines: Compare filtered vs. unfiltered in real-time
- Dynamic Bands: Three-level deviation bands (1σ, 2σ, 3σ)
- Trend Coloring: Automatic color adaptation based on price position
- Cloud Visualization: Highlights divergence between standard and Kalman VWAP
- Signal Markers: Crossover and band-touch indicators
Trading Signals
- VWAP crossover detection with Kalman filtering
- Band touch alerts at multiple standard deviation levels
- Velocity-based momentum confirmation (optional)
- Divergence warnings when filtered/unfiltered values separate
Information Display
- Real-time VWAP values (both standard and filtered)
- Trend direction indicator
- Velocity/momentum reading (when enabled)
- Divergence percentage calculation
- Anchor period display
Input Parameters
VWAP Settings
- Anchor Period: Choose calculation reset period
- Band Multipliers: Customize deviation band distances
- Display Options: Toggle standard VWAP and bands
Kalman Parameters
- Length: Base period for calculations (5-200)
- Process Noise (Q: Higher values increase responsiveness
- Measurement Noise (R): Higher values increase smoothing
- Velocity Tracking: Enable momentum-based filtering
Visual Controls
- Toggle filtered/unfiltered VWAP display
- Band visibility options
- Signal markers on/off
- Cloud fill between VWAPs
- Bar coloring by trend
Use Cases
Noise Reduction
Particularly effective during:
- Low volume periods (pre-market, lunch hours)
- Volatile market conditions
- Fast-moving markets where standard VWAP whipsaws
Trend Identification
- Cleaner trend signals with reduced false crosses
- Earlier trend detection through velocity component
- Confirmation through divergence analysis
Support/Resistance
- Filtered VWAP provides more stable S/R levels
- Bands adapt to filtered values for better zone identification
- Reduced false breakout signals
Technical Advantages
1. Optimal Estimation: Mathematically optimal under Gaussian noise assumptions
2. Adaptive Response: Self-adjusting to market conditions
3. Predictive Element: Velocity component provides forward-looking insight
4. Noise Immunity: Superior noise rejection vs. simple moving average smoothing
Limitations
- Assumes linear price dynamics
- Requires parameter optimization for different instruments
- May lag during sudden volatility regime changes
- Not suitable as standalone trading system
Mathematical Background
Based on control systems theory, the Kalman filter provides recursive Bayesian estimation originally developed for aerospace applications. This implementation adapts the algorithm specifically for financial time series, maintaining VWAP's volume-weighted properties while adding statistical filtering.
Comparison with Standard VWAP
Standard VWAP Issues Addressed:
- Choppy behavior in low volume
- Whipsaws around VWAP line
- Lag in trend identification
- Noise in deviation bands
Kalman VWAP Benefits:
- Smooth yet responsive line
- Fewer false signals
- Optional momentum tracking
- Statistically optimized filtering
Alert Conditions
The indicator includes several pre-configured alert conditions:
- Bullish/Bearish VWAP crosses
- Upper/Lower band touches
- High divergence warnings
- Velocity shifts (if enabled)
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This open-source indicator is provided as-is for educational and trading purposes. No guarantees are made regarding trading performance. Users should conduct their own testing and validation before using in live trading.
EMA + RSI Autotrade Webhook - VarunOverview
The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features
Simple & Effective: Uses proven EMA 9/21 crossover strategy
RSI Momentum Filter: Eliminates low-probability trades in ranging markets
Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation
Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms
Zero Lag Signals: Real-time alerts on crossover confirmation
Visual Clarity: Clean chart markers for easy signal identification
How It Works
Entry Signals:
LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed)
SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed)
Technical Components:
Fast EMA: 9-period (tracks short-term price action)
Slow EMA: 21-period (identifies primary trend)
RSI: 14-period (confirms momentum strength)
RSI Long Threshold: 52 (filters weak bullish signals)
RSI Short Threshold: 48 (filters weak bearish signals)
Best Use Cases
Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts
Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts
Timeframes: Optimized for 15-minute charts (works on 5min-1H)
Markets: Trending crypto markets with clear directional moves
Risk Management: Best used with 1-2% stop loss per trade (managed externally)
Webhook Automation Setup
Add indicator to your TradingView chart
Create alerts for "LONG Entry" and "SHORT Entry"
Configure webhook URL from your exchange (Delta Exchange, Binance, etc.)
Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}}
Exchange automatically reverses positions on opposite signals
Advantages
✅ No manual trading required - fully automated
✅ Eliminates emotional trading decisions
✅ Catches trending moves early with EMA crossovers
✅ RSI filter reduces whipsaws in choppy markets
✅ Works 24/7 without monitoring
✅ Simple two-alert system (easy to manage)
✅ Compatible with multiple exchanges via webhooksStrategy Philosophy
This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings
Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing)
Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals
Position Sizing: 100% capital per signal (exchange manages reversals)
Stop Loss: 2% (managed via exchange or external bot)
Leverage: 1-2x for conservative approach, up to 5x for aggressive
Important Notes
⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange
⚠️ Always backtest on historical data before live trading
⚠️ Use proper risk management and position sizing
⚠️ Best performance in trending markets; may generate false signals in tight ranges
⚠️ Requires TradingView Premium or higher for webhook functionalityTags
cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy
SibayakNa - v16.1 Entry Setup Indicator to confirm Entry Setup with simple MA Crossing, RSI, Volume, ATR, OBV, ADX at MTF.
BVC - Momentum Dashboard ForecastBVC – Momentum Dashboard Forecast is an all-in-one indicator designed for the Casablanca Stock Exchange.
It merges trend, momentum, volatility and breakout signals to produce clear, non-repainting Buy/Sell triggers, strength scoring,
short-term forecasting and a complete visual dashboard.
Main Components
• MA20 / MA50 trend structure
• RSI(14) oversold/overbought exits
• Donchian breakouts (non-repainting using previous window)
• Optional volume confirmation
• Buy/Sell labels + strength score (0→5)
• Automatic trend-based background coloring
• Forecasting (J+1 … J+H) using linear regression + ±k·ATR
• Mini Dashboard + Forecast Table
Forecast Module
• Linear projection using slope of linreg
• ATR-based uncertainty envelope
• Projection labels (optional)
• Forecast table: Session, Projection, ATR band
Alerts
• Buy Signal
• Sell Signal
(Add alert on the indicator.)
Best Practices (BVC)
• Use daily for swing trades
• Weekly timeframe for structural trend
• Donchian 20–30 depending on volatility
• Activate volume filter for liquid stocks
• Combine with support/resistance and order book analysis
MILLION MEN - Zone ScannerWhat it is
MILLION MEN - Zone Scanner is a context-driven momentum tool that visualizes trend regimes (bullish / bearish) and highlights the first-touch opportunity within each regime’s reactive zones. It’s designed to help traders identify pullbacks inside an existing bias rather than chasing breakouts.
How it works
Uses a custom RSI-style momentum meter calculated from RMA of up/down moves.
When the meter > upper threshold → Green Regime.
When the meter < lower threshold → Red Regime.
Defines LONG Zone (34 – 40) and SHORT Zone (60 – 70) for mean-reversion touches.
Prints L FT or S FT on the first confirmed touch after a regime turns on.
Optional candle-color filter (green bar for LONG / red bar for SHORT).
Exit signals trigger once the meter revisits the regime boundary.
Optional Neon Glow styling improves visual clarity without clutter.
How to use
Identify regime direction (green = bullish bias, red = bearish bias).
Wait for the first touch into the relevant zone.
Confirm with higher-time-frame structure or volume context.
Manage position or exit once the meter retests its regime limit.
Use it as a context tool, not an auto-entry system.
Originality & Value
This script enforces discipline by allowing only one signal per regime, reducing over-trading and noise. The zone visualization and glow layers offer a clean, cinematic UI consistent with the MILLION MEN visual standard.
Limitations & Transparency
Works best on standard candlesticks and normal-time frames (tested on BTC, ETH, XRP, BNB, XAUUSD).
No look-ahead or future data.
Signals are bar-close confirmed (barstate.isconfirmed).
Educational tool — not financial advice.
Free Protected Version
Published for public educational use under the MILLION MEN framework. Core logic is protected to maintain script integrity.
ATR Support LineOverview
ATR Support Line is a higher-timeframe-aware overlay that builds a single dynamic support line by anchoring a smoothed price baseline and offsetting it with an Average True Range (ATR) multiple. It is designed to track constructive trends while adapting to current volatility. The tool can render using higher-timeframe (HTF) data with optional closed-bar confirmation to avoid repainting, or live interpolation for more responsive visuals.
Core logic (concepts, not implementation)
• Compute an anchor from price using a selectable moving-average family (SMA / EMA / ZLEMA).
• Measure volatility using ATR and apply a configurable multiplier.
• Form the support line by offsetting the anchor downward by the ATR multiple.
• Timeframe handling: either use the chart timeframe or request an explicit HTF for calculation.
• Rendering modes:
– Closed-bar mode : interpolate inside the previous HTF bar for non-repainting behavior.
– Live mode : interpolate inside the current HTF bar for more timely responsiveness (can visually “breathe” intrabar).
Inputs
• Anchor smoothing: MA type (SMA / EMA / ZLEMA) and anchor length.
• Volatility: ATR length and multiplier.
• Timeframe: optional calculation timeframe (HTF) distinct from the chart timeframe.
• Confirmation: toggle to use closed HTF values (non-repainting) vs. live interpolation.
How to read it
• Price holding above the ATR Support Line indicates constructive conditions; orderly pullbacks toward the line can be normal trend behavior.
• Persistent closes above the line indicate strength; reactions into the line often resolve higher in constructive regimes.
• Persistent closes below the line warn of deterioration; consider reducing risk until price reclaims the level.
• On HTF rendering with closed-bar confirmation, use closes on that HTF for signal confirmation.
• In live mode, treat intrabar pierces as potential noise until confirmed by the close.
Practical use cases
• Trend context: define a trailing “line in the sand” for long-bias frameworks.
• Risk framing: size down or tighten exposure when price loses the support line.
• Confluence: combine with structure (HH/HL vs. LH/LL), volume, or market-wide risk gauges.
• Multi-TF workflow: calculate on HTF for bias, execute on lower TFs for entries/exits.
Best practices
• Align confirmations with the timeframe used for calculation (especially in closed-bar mode).
• Pair with clear invalidation rules (e.g., daily/weekly closes below the line).
• Start with conservative multipliers on noisier assets; adjust ATR length/multiplier to match instrument volatility.
Technical notes
• Non-repainting option : closed-bar HTF mode finalizes values on HTF close; lower-TF plotting uses interpolation only for continuity (no look-ahead).
• Live option : interpolates within the current HTF bar for responsiveness; expect intrabar breathing.
• Works on any time-based chart; results are most interpretable on liquid instruments.
Who it is for
• Traders who want a single, disciplined, volatility-adjusted support line with HTF awareness.
• Systematic users who prefer clear, reproducible rules for trend context and risk boundaries.
Limitations & disclosures
• Closed-source; for educational and analytical use only.
• Not financial advice. Markets involve risk; past performance does not guarantee future results.
Release notes
• Added selectable anchor MA (SMA / EMA / ZLEMA) and explicit HTF calculation with two rendering modes (closed-bar non-repainting vs. live).
• Interpolation refined for smooth visuals while respecting HTF closes in confirmation mode.
Originality & why closed-source
This is not a reimplementation of public open-source scripts. The integration of anchor smoothing choices, volatility offset, HTF calculation, and dual rendering modes (closed-bar non-repainting vs. live interpolation) is designed to maintain trend fidelity with practical control over responsiveness. The interaction of these components is proprietary and the source is closed to protect the implementation.
Integration, not a mashup
ATR Support Line is a single, self-contained framework. It does not merely merge indicators; its components are purpose-built to produce one coherent, volatility-aware, single-line support with a clear reading protocol (hold above = constructive; loss = caution).
Indicator, not a strategy
This publication is an indicator overlay, not a trading strategy. It includes no backtests, position logic, performance claims, or risk assumptions. Use it as analytical context within your own risk management.
Comparison to common tools
Compared to static moving-average baselines or classic volatility bands, ATR Support Line emphasizes (1) a single actionable support level, (2) explicit volatility adjustment via ATR, and (3) HTF-aware rendering with an optional non-repainting confirmation mode.
Axel AltsOverview
Axel Alts is a higher-timeframe-aware overlay that forms a two-line support band for altcoins using a sticky, threshold-and-step progression. It draws an Upper Support (mid) and a Lower Support (low) derived from evolving local lows, with smoothed transitions and an optional halving-cycle bear-window background.
The goal is disciplined context: identify controlled pullbacks into support in constructive regimes and avoid emotional chasing. All core settings are fixed for consistent behavior across symbols.
Core logic (concepts, not implementation)
• Two baseline levels are computed as fractional distances from the current base and then smoothed.
• A sticky mechanism advances each line toward its target only when deviation is material, and in capped steps. This reduces whipsaw and preserves structure.
• Visual easing smooths transitions so curves remain stable and readable.
• Rendering accounts for higher-timeframe structure and uses interpolation on lower timeframes for visual continuity; values do not look ahead and finalize on higher-timeframe closes.
• An optional bear-window background is derived from halving dates to flag a more cautious phase between the late part of one cycle and the run-up to the next.
Inputs
• Parameters are locked (lengths, fractions, sticky thresholds/steps, easing radii, bear-window bounds). No user-tweakable inputs—this prevents overfitting and improves repeatability.
How to read it
• The zone between Upper Support and Lower Support is the preferred “controlled pullback” area in constructive regimes.
• Persistent closes above Upper Support indicate strength; orderly reactions into the band can be constructive.
• Sustained closes below Lower Support warn of deterioration; be cautious with aggressive longs until recovery.
• The bear-window background suggests a more conservative stance on risk and size.
• Confirmations are best taken on daily/weekly closes; short-term pokes through the band are often noise.
Practical use cases
• Altcoin rotation: prioritize names holding the band; de-prioritize those persisting below it.
• Dollar-Cost Averaging (DCA) context: scale within the band during favorable regimes.
• Risk framing: tighten or reduce exposure on breaks below Lower Support or during the bear window.
• Confluence: combine with volume/volatility tools and market-wide risk gauges.
Best practices
• Rely on daily/weekly closes for confirmation.
• Pair with market structure (HH/HL vs. LH/LL) and higher-timeframe support/resistance.
• Consider broader cycle context (e.g., halving windows) before scaling risk.
Technical notes
• Non-repainting: values finalize on the close of the higher timeframe used by each calculation.
• Interpolation on lower timeframes is for continuity only; it is not forward-looking.
• Bear-window boundaries are fixed and derived from publicly known Bitcoin halving dates.
• The fill between lines is fixed in the current configuration.
Who it is for
• Traders who want a fixed-rules, repeatable context for alt pullbacks and trend health.
• Systematic users who prefer deterministic, non-tunable overlays for portfolio discipline.
Limitations & disclosures
• Closed-source; for educational and analytical use only.
• Not financial advice. Markets involve risk; past performance does not guarantee future results.
Release notes
• Includes sticky progression for both support lines with eased transitions.
• Improved visual continuity on lower timeframes while respecting higher-timeframe structure.
• Added halving-based bear-window highlighting (bounds are fixed).
Originality & why closed-source
This is not a reimplementation of public open-source scripts. Axel Alts integrates (1) sticky threshold-and-step progression, (2) dual support lines built from fractional levels off evolving lows with separate smoothing, (3) visual easing for stability, and (4) a halving-based bear window. The interaction of thresholds/steps, smoothing, and the regime window is proprietary and tuned to retain structure while limiting lag. The source is closed to protect this implementation.
Integration, not a mashup
Axel Alts is a single, self-contained framework. It does not merely merge indicators; its components are designed to work together to form a unified support band with a clear reading protocol (hold within the band, caution below, close-based confirmations, optional bear-window context).
Indicator, not a strategy
This publication is an indicator overlay, not a trading strategy. It includes no backtests, position logic, performance claims, or risk assumptions. Use it as analytical context within your own risk management.
Comparison to common tools
Compared to standard moving-average channels or volatility bands, Axel Alts emphasizes (1) structure retention via sticky thresholds/steps, (2) smoother visuals through eased transitions, and (3) explicit cycle context via the halving-based bear window.
Trap LineOverview
Trap Line is a higher-timeframe trend framework designed to define market regimes using smoothed weekly (1W) and three-week (3W) baselines. Price trading above the line reflects a bullish regime; price below the line reflects a bearish one. The goal is regime discipline—stay aligned with the dominant higher-timeframe direction and avoid late, emotional entries. All parameters are fixed to ensure consistent behavior across symbols.
Core logic (concepts, not full code)
• Computes a Hull-type moving average on 1W and 3W closes (with optional linear-regression pre-filtering) and projects them onto lower timeframes via interpolation.
• Produces a smooth, lag-reduced structural baseline that tracks the weekly trend path.
• Observing price vs. the baseline highlights potential trap zones—temporary breaches that often fail without a confirmed weekly close.
• The 3-Week Trap Line adds a macro confirmation layer and is hidden by default in the Style tab to keep charts clean.
Inputs
• Parameters (length, smoothing type, regression toggle, interpolation mode) are fixed to prevent overfitting and preserve repeatability.
How to read it
• Above the line => bullish regime.
• Below the line => bearish regime.
• A confirmed weekly close through the line suggests a regime transition.
• A weekly close above the line with a green candle supports bullish continuation; a weekly close below the line with a red candle supports bearish continuation.
• Intraweek deviations near the line are often noise and may fade.
Practical use cases
• Weekly bias filter for swing/position frameworks.
• Regime confirmation across related assets or sectors.
• Portfolio overlay: favor long exposure in bullish regimes; reduce risk in bearish regimes.
• Combine with volume or ATR-based tools to assess trend quality.
Best practices
• Wait for the weekly close before declaring regime flips.
• Avoid overreacting to intraweek moves around the baseline.
• Combine with structure analysis (HH/HL vs. LH/LL) and higher-timeframe S/R.
• Use standard time-based candles; avoid interpreting signals on Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts.
Technical notes
• Built on locked higher-timeframe data (1W and 3W).
• Interpolation is used to render HTF structure smoothly on lower charts.
• Non-repainting : values finalize when the higher timeframe closes; lower-TF plotting is interpolated, not forward-looking.
Who it is for
• Traders who want a consistent, rules-based higher-timeframe bias filter.
• Systematic users who prefer fixed-parameter baselines for regime context.
Limitations & disclosures
• Closed-source; educational and analytical use only.
• Not financial advice. Markets involve risk; past performance does not guarantee future results.
Release notes
• Includes the 3-Week Trap Line (3W). It is hidden by default in the Style tab; enable it if you want an additional macro confirmation layer.
• Fixed-parameter design (no user-tweakable inputs) for consistent behavior across symbols.
• Non-repainting values finalize on 1W/3W candle close.
Originality & why closed-source
This is not a reimplementation of public open-source scripts. Trap Line uses a specific combination of higher-timeframe Hull smoothing, optional linear-regression pre-filtering, and lower-timeframe interpolation designed to expose trap zones (temporary regime breaches that often fail without a confirmed weekly close). The integration and thresholds are proprietary and tuned to retain weekly structure with reduced lag. The source is closed to protect this implementation.
Integration, not a mashup
Trap Line is a single, self-contained framework. It does not merely merge other indicators; its components are integrated to produce a unified higher-timeframe baseline (1W/3W) with a defined reading protocol (above/below line, weekly-close confirmation, optional candle-color confirmation).
Indicator, not a strategy
This publication provides an indicator overlay , not a trading strategy. It includes no backtests, position logic, performance claims, or risk assumptions. Use it as an analytical bias filter within your own risk management.
Comparison to common tools
Compared to standard MAs or SuperTrend-style bands, Trap Line prioritizes (1) higher-timeframe structure fidelity, (2) reduced lag via HMA-type smoothing, and (3) explicit weekly-close confirmation to avoid premature regime flips. The optional 3-Week line acts as a macro confirmation layer and is hidden by default in the Style tab.
OverBought & OverSold [SwissAlgo]OverBought & OverSold
Statistical analysis of momentum extremes
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Purpose
This indicator was built to answer three questions:
Is the current price move statistically extreme? - By comparing current momentum to historical distribution
What is the current market regime? - By combining trend position and momentum direction
Is momentum accelerating or decelerating? - By analyzing weekly momentum shifts
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What You Can Do With This Indicator
Identify Statistical Extremes
See when price momentum seems to have reached levels that historically preceded reversals
Compare the current Rate of Change to its historical mean and standard deviation
Spot when readings exceed ±1σ, ±2σ, or higher thresholds
Monitor Market Regime/State
Track whether the market seems to be in BULL, WEAK BULL, BEAR, or WEAK BEAR state
Observe potential transitions between regimes as they occur
Understand the relationship between price position and momentum
Assess Momentum Quality
Distinguish between potentially accelerating momentum (lime/red bars) and decelerating momentum (green/maroon bars)
Watch for possible momentum deterioration within established trends
Track weekly momentum patterns that filter out daily noise
Measure Distance from Trend
Monitor how far the price is from its long-term moving average (EMA 350)
Identify when price approaches trend support/resistance
Contextualize current position relative to historical distance patterns
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Overview
This indicator calculates a volume-weighted Rate of Change (ROC) and displays it with statistical Z-Score bands. It combines ROC analysis with market regime detection using weekly MACD and EMA positioning.
Key Features
Volume-weighted ROC calculation with 5-bar smoothing
Dynamic Z-Score bands (±0.5σ to ±6σ)
Four-state market regime classification
Weekly Stochastic RSI-based histogram coloring
Visual markers for extreme readings
Information table with current statistics
Calculations
Volume-Weighted ROC
The indicator compares two 5-bar volume-weighted average prices separated by the ROC
Length period:
Recent VWAP = Σ(Price × Volume) / Σ(Volume) for last 5 bars
Past VWAP = Σ(Price × Volume) / Σ(Volume) for 5 bars at lookback
ROC = ((Recent VWAP - Past VWAP) / Past VWAP) × 100
Default ROC Length: 30 periods
Why volume-weighted:
Single price points can be affected by temporary spikes
Volume weighting emphasizes legitimate price moves
5-bar averaging reduces single-bar noise
Z-Score Bands
The indicator maintains separate statistical distributions for positive and negative ROC values:
For positive ROC values:
Calculates mean and standard deviation of all positive ROC readings
Plots bands at +0.5σ, +1σ, +2σ, +3σ, +4σ, +5σ, +6σ above the mean
For negative ROC values:
Calculates mean and standard deviation of all negative ROC readings
Plots bands at -0.5σ, -1σ, -2σ, -3σ, -4σ, -5σ, -6σ below the mean
Z-Score formula:
If ROC > 0: Z = (ROC - Positive Mean) / Positive Std Dev
If ROC < 0: Z = (ROC - Negative Mean) / Negative Std Dev
Why separate distributions:
Upward and downward momentum often have different statistical properties
Separate analysis provides more accurate extreme identification
Each side maintains its own mean and volatility characteristics
The ±1σ bands use thicker lines (linewidth=2) as these levels are most frequently tested.
Market Regime States
Four states based on weekly MACD (10, 24, 8) and EMA 350:
BULL
Conditions: Price > EMA 350, Weekly MACD > 0, MACD > Signal, ROC histogram lime
Background: Lime (85% transparency)
Interpretation: Price above long-term trend with accelerating momentum
WEAK BULL
Conditions: Price > EMA 350 AND (MACD < Signal OR ROC histogram green)
Background: Green (95% transparency)
Interpretation: Price above trend, but momentum seems to be decelerating
BEAR
Conditions: Price < EMA 350, Weekly MACD < 0, MACD < Signal, ROC histogram red
Background: Red (85% transparency)
Interpretation: Price below long-term trend with accelerating downward momentum
WEAK BEAR
Conditions: Price < EMA 350 AND (MACD > Signal OR ROC histogram maroon)
Background: Maroon (95% transparency)
Interpretation: Price below trend, but downward momentum seems to be decelerating
NEUTRAL
Conditions: None of the above met
Background: Gray (95% transparency)
Interpretation: Transitional state between regimes
Why weekly MACD:
Filters daily volatility and noise
Provides more stable regime classification
Reduces false regime switches
Histogram Colors
Colors determined by Weekly Stochastic RSI (14, 14, 3, 3):
Lime: ROC > 0 and K > D (rising positive momentum)
Green: ROC > 0 and K < D (falling positive momentum)
Red: ROC < 0 and K < D (falling negative momentum)
Maroon: ROC < 0 and K > D (rising negative momentum)
Why weekly Stochastic RSI:
Shows momentum direction independent of absolute level
Weekly timeframe provides stable readings
K/D crossover indicates momentum shifts
Visual Markers
Red arrows (↓): Display when ROC ≥ +1σ (overbought zone)
Lime arrows (↑): Display when ROC ≤ -0.5σ (oversold zone)
These markers highlight when readings reach statistical extremes.
Information Table
Located at the top-right, displays four rows:
Row 1 - Market State
Shows current regime text (BULL/WEAK BULL/BEAR/WEAK BEAR/NEUTRAL)
Color matches regime state
Row 2 - Current Z-Score
Shows Z-Score value with 2 decimal places
Lime when Z ≤ -0.5 (statistically oversold)
Red when Z ≥ +1 (statistically overbought)
White for values between -0.5 and +1 (normal range)
Adds bullet (●) for extreme values
Row 3 - Price ROC %
Shows current ROC percentage
Lime when positive
Red when negative
Row 4 - Distance % EMA
Shows percentage distance from EMA 350
Calculates Z-score of distance
Red with ● when close to EMA in bull market (|Z| < 0.5)
Lime with ● when close to EMA in bear market (|Z| < 0.5)
Standard colors otherwise (lime when above EMA, red when below)
Why distance matters:
A price approaching EMA 350 in a bull market can signal a support test
Price near EMA 350 in a bear market can signal a resistance test
Z-score of distance shows if the current proximity is statistically unusual
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Settings
ROC Length (Integer, default: 30, minimum: 1)
Number of periods for ROC lookback
Higher values = slower response, smoother
Lower values = faster response, more sensitive
Source (Source, default: close)
Price data input for calculations
Can use close, open, high, low, hl2, hlc3, ohlc4
Show Info Table (Boolean, default: true)
Toggle table visibility
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Technical Details
Uses lookahead=barmerge.lookahead_off for all request.security() calls
Accumulates all historical ROC values in arrays for Z-Score calculation
Weekly timeframe data retrieved via request.security() on "1W" resolution
EMA length hardcoded to 350 periods
All plots use Pine Script v6 syntax
Data Requirements
Minimum bars required: ROC Length + 5 bars
Works on any timeframe
Applicable to any instrument with volume data
Historical data used: All available bars on the chart
Display Elements
Plots:
ROC histogram (plotcandle format)
Zero line (horizontal line)
14 standard deviation lines (7 positive, 7 negative)
13 filled regions between bands
14 sigma labels (displayed on last bar only)
Extreme zone markers (arrows)
Color Scheme:
Positive bands: Lime with varying transparency
Negative bands: Red with varying transparency
Fills: Green (positive) and Red (negative) with high transparency
Bands beyond 3σ use increased transparency (85%, 90%, 93%)
Visual Hierarchy
±1σ bands: Thicker lines (most important levels)
±0.5σ to ±3σ: Standard visibility
±4σ to ±6σ: Faded (visible only during extreme events)
Notes
This is an oscillator-type indicator (overlay=false)
Displays in a separate pane below the price chart
Does not generate automatic buy/sell signals
Does not include alert conditions
Does not repaint (all calculations use confirmed data)
Limitations
Requires sufficient historical data for meaningful statistics
Z-Score bands recalculate as new data accumulates
Market regime requires weekly MACD calculation (may show neutral on insufficient data)
Volume-weighting requires volume data availability
EMA 350 is fixed (not adjustable via inputs)
Statistical extremes do not guarantee reversals
Past distribution patterns do not predict future behavior
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Disclaimer
Educational Purpose Only
This indicator is provided for educational and informational purposes only. It is a technical analysis tool that displays statistical calculations and historical data patterns.
Not Financial Advice
This indicator does not provide financial, investment, trading, or any other type of professional advice. All content and calculations are for informational purposes only and should not be construed as a recommendation to buy, sell, or hold any security or financial instrument.
No Guarantee of Results
Past performance and historical statistical patterns do not guarantee future results. Markets are inherently unpredictable, and statistical analysis cannot predict future price movements with certainty. The appearance of statistical extremes does not ensure that reversals will occur.
User Responsibility
Users of this indicator are solely responsible for their own trading and investment decisions. You should conduct your own research and due diligence and consult with qualified financial professionals before making any investment decisions.
Risk Warning
Trading and investing in financial markets involves substantial risk of loss. You should only trade with capital you can afford to lose. The use of technical indicators does not eliminate market risk.
No Warranty
This indicator is provided "as is" without warranty of any kind, either expressed or implied, including but not limited to warranties of accuracy, reliability, or fitness for a particular purpose. The author makes no guarantees regarding the accuracy of calculations or the absence of errors.
Limitation of Liability
The author and publisher of this indicator shall not be held liable for any losses, damages, or claims arising from the use or inability to use this indicator, including but not limited to trading losses, lost profits, or any other financial losses.
Data Accuracy
While efforts have been made to ensure calculation accuracy, users should independently verify all outputs. The indicator relies on data provided by TradingView, and the author is not responsible for data feed errors or interruptions.
User Agreement
By using this indicator, you acknowledge that you have read, understood, and agree to this disclaimer. If you do not agree with any part of this disclaimer, you should not use this indicator.
RMBS Smart Detector - Multi-Factor Momentum System v2# RMBS Smart Detector - Multi-Factor Momentum System
## Overview
RMBS (Smart Detector - Multi-Factor Momentum System) is a proprietary scoring method developed by Ario, combining normalized RSI and Bollinger band positioning into a single composite metric.
---
## Core Methodology
### Buy/Sell Logic
Marker (green or red )appear when **all four filters** pass:
**1. RMBS Score (Momentum Strength)**
From the formula Bellow
Combined Range: -10 (extreme bearish) to +10 (extreme bullish)
Signal Thresholds:
• BUY: Score > +3.0
• SELL: Score < -3.0
2. EMA Trend Filter
BUY: EMA(21) > EMA(55) → Uptrend confirmed
SELL: EMA(21) < EMA(55) → Downtrend confirmed
3. ADX Strength Filter
Minimum ADX: 25 (adjustable 20-30)
ADX > 25: Trending market → Signal allowed
ADX < 25: Range-bound → Signal blocked
4. Alternating Logic
Prevents signal spam by requiring alternation:
✓ BUY → SELL → BUY (allowed)
✗ BUY → BUY → BUY (blocked)
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Mathematical Foundation
RMBS Formula: scoring method developed by Ario
RMBS = (RSI – 50) / 10 + ((BB_pos – 50) / 10)
where:
• RSI = Relative Strength Index (close, L)
• BB_pos = (Close – (SMA – 2 σ)) / ((SMA + 2 σ) – (SMA – 2 σ)) × 100
• σ = standard deviation of close over lookback L
• SMA = simple moving average of close over lookback L
• L = rmbs_length (period setting)
This produces a normalized composite score around zero:
• Positive → bullish momentum and upper band dominance
• Negative → bearish momentum and lower band pressure
• Near 0 → neutral or transitional zone
Input Parameters
ADX Threshold (default: 25)
• Lower (20-23): More signals, less filtering
• Higher (28-30): Fewer signals, stronger trends
• Recommended: 25 for balanced filtering
Signal Thresholds
• BUY: +3.0 (adjustable)
• SELL: -3.0 (adjustable)
Visual Options
• Marker colors
• Background highlights
• Alert settings
________________________________________
Usage Guidelines
How to Interpret
• 🟢 Green Marker: All conditions met for Bull condition
• 🔴 Red Marker: All conditions met for Bear condition
• No Marker: Waiting for confirmation
________________________________________
Important Disclaimers
⚠️ Educational Purpose Only
• This tool demonstrates multi-factor technical analysis concepts
• Not financial advice or trade recommendations
• No guarantee of profitability
⚠️ Known Limitations
• Less effective in ranging/choppy markets
• Requires proper risk management (stop-loss, position sizing)
• Should be combined with fundamental analysis
⚠️ Risk Warning
Trading involves substantial risk of loss. Past performance does not indicate future results. Always conduct your own research and consult professionals before trading.
________________________________________
Open Source
Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome.
“All logic is presented for research and educational visualization.”
ADX Trend Color HistogramOverview:
This script provides a visually enhanced version of the classic Average Directional Index (ADX) indicator. Instead of a simple line, it plots the ADX as a histogram, making it easier to gauge trend strength at a glance. The key feature is its dynamic color-coding, which shifts based on the relationship between the Directional Indicators (DI+ and DI-), offering immediate insight into market momentum.
Features:
Histogram Style: The ADX value is presented as a histogram for clear, easy-to-read visualization of trend strength.
Dynamic Color-Coding: The histogram bars are colored green when DI+ is greater than DI-, indicating bullish momentum. They turn red when DI- is greater than DI+, signaling bearish momentum.
Customizable Transparency: The default color transparency is set to 80% (20% opacity) for a clean look that doesn't overpower the main chart, but this can be adjusted in the script's color settings.
Built-in Alerts: The script includes configurable alerts that trigger whenever the momentum shifts, i.e., when the color of the histogram changes from red to green or vice-versa. This allows you to stay notified of potential changes in trend direction without constantly watching the chart.
Clean and Simple: The code is well-structured and commented for clarity, making it easy for other PineScripters to understand or modify.
How to Use:
Assess Trend Strength: The height of the histogram bars represents the strength of the current trend. Higher bars suggest a stronger trend (either bullish or bearish), while lower bars indicate a weak or non-trending market.
Identify Momentum Direction: The color of the bars provides a quick guide to the direction of market momentum.
Green Bars: Indicate that the upward momentum is dominant.
Red Bars: Indicate that the downward momentum is dominant.
Use Alerts for Signals: Set up alerts in TradingView based on the "ADX Green" and "ADX Red" conditions to receive notifications for potential entry or exit signals when the momentum shifts. A change from red to green can signal a potential bullish reversal or continuation, while a change from green to red can signal a bearish one.
Ultimate Scalping IndicatorOverview
The Confluence Signal Indicator is a precision-built scalping tool designed to identify high-probability reversal points in the market.
It combines three core technical elements:
Trend
Mean reversion
Momentum
into a single, efficient system.
By filtering out weak RSI signals and focusing only on setups that align with trend direction and recent momentum shifts, this indicator delivers cleaner and more accurate short-term trade signals.
Core Components
200-Period Moving Average (MA200, 5-Minute Timeframe)
The MA200 is always calculated from the 5-minute chart, regardless of your current timeframe. It defines the macro trend direction and ensures that all trades align with the prevailing momentum.
Session VWAP (Volume-Weighted Average Price)
The VWAP tracks the real-time average price weighted by volume for the current trading session. It acts as a dynamic mean-reversion level and helps identify key areas of institutional activity and short-term balance.
RSI (Relative Strength Index)
The indicator uses a standard 14-period RSI to detect overbought and oversold market conditions.
A “recency filter” is added to ensure signals only appear when RSI has recently transitioned from strength to weakness or vice versa, reducing false signals in trending markets.
Signal Logic
Bullish Signal (Green Arrow)
A bullish reversal signal is plotted below a candle when:
Price is above both the 5-minute MA200 and the Session VWAP.
RSI is oversold (below 30).
The last time RSI was above 50 occurred within the last 10 candles before going oversold.
This ensures that the dip is a fresh pullback within an uptrend, not a prolonged oversold condition.
Bearish Signal (Red Arrow)
A bearish reversal signal is plotted above a candle when:
Price is below both the 5-minute MA200 and the Session VWAP.
RSI is overbought (above 70).
The last time RSI was below 50 occurred within the last 10 candles before going overbought.
This ensures that the overbought reading follows a recent move from weakness, identifying potential short entries in a downtrend.
Recommended Usage
This is a scalping-focused indicator, intended for use on timeframes of 5 minutes or lower. Therefore I would highly recommend to use it on Equity futures trading, such as NQ!, ES!, GC! and so on.
It performs best when combined with additional tools such as support and resistance zones, order blocks, or liquidity levels for context.
Avoid counter-trend signals unless confirmed by price structure or volume behavior.
Ornstein-Uhlenbeck Trend Channel [BOSWaves]Ornstein-Uhlenbeck Trend Channel - Adaptive Mean Reversion with Dynamic Equilibrium Geometry
Overview
The Ornstein-Uhlenbeck Trend Channel introduces an advanced equilibrium-mapping framework that blends statistical mean reversion with adaptive trend geometry. Traditional channels and regression bands react linearly to volatility, often failing to capture the natural rhythm of price equilibrium. This model evolves that concept through a dynamic reversion engine, where equilibrium adapts continuously to volatility, trend slope, and structural bias - forming a living channel that bends, expands, and contracts in real time.
The result is a smooth, equilibrium-driven representation of market balance - not just trend direction. Instead of static bands or abrupt slope shifts, traders see fluid, volatility-aware motion that mirrors the natural pull-and-release dynamic of market behavior. Each channel visualizes the probabilistic boundaries of fair value, showing where price tends to revert and where it accelerates away from its statistical mean.
Unlike conventional envelopes or Bollinger-type constructs, the Ornstein-Uhlenbeck framework is volatility-reactive and equilibrium-sensitive, providing traders with a contextual map of where price is likely to stabilize, extend, or exhaust.
Theoretical Foundation
The Ornstein-Uhlenbeck Trend Channel is inspired by stochastic mean-reversion processes - mathematical models used to describe systems that oscillate around a drifting equilibrium. While linear regression channels assume constant variance, financial markets operate under variable volatility and shifting equilibrium points. The OU process accounts for this by treating price as a mean-seeking motion governed by volatility and trend persistence.
At its core are three interacting components:
Equilibrium Mean (μ) : Represents the evolving balance point of price, adjusting to directional bias and volatility.
Reversion Rate (θ) : Defines how strongly price is pulled back toward equilibrium after deviation, capturing the self-correcting nature of market structure.
Volatility Coefficient (σ) : Controls how far and how quickly price can diverge from equilibrium before mean reversion pressure increases.
By embedding this stochastic model inside a volatility-adjusted framework, the system accurately scales across different markets and conditions - maintaining meaningful equilibrium geometry across crypto, forex, indices, or commodities. This design gives traders a mathematically grounded yet visually intuitive interpretation of dynamic balance in live market motion.
How It Works
The Ornstein-Uhlenbeck Trend Channel is constructed through a structured multi-stage process that merges stochastic logic with volatility mechanics:
Equilibrium Estimation Core : The indicator begins by identifying the evolving mean using adaptive smoothing influenced by trend direction and volatility. This becomes the live centerline - the statistical anchor around which price naturally oscillates.
Volatility Normalization Layer : ATR or rolling deviation is used to calculate volatility intensity. The output scales the channel width dynamically, ensuring that boundaries reflect current variance rather than static thresholds.
Directional Bias Engine : EMA slope and trend confirmation logic determine whether equilibrium should tilt upward or downward. This creates asymmetrical channel motion that bends with the prevailing trend rather than staying horizontal.
Channel Boundary Construction : Upper and lower bands are plotted at volatility-proportional distances from the mean. These envelopes form the “statistical pressure zones” that indicate where mean reversion or acceleration may occur.
Signal and Lifecycle Control : Channel breaches, mean crossovers, and slope flips mark statistically significant events - exhaustion, continuation, or rebalancing. Older equilibrium zones gradually fade, ensuring a clear, context-aware visual field.
Through these layers, the channel forms a continuously updating equilibrium corridor that adapts in real time - breathing with the market’s volatility and rhythm.
Interpretation
The Ornstein-Uhlenbeck Trend Channel reframes how traders interpret balance and momentum. Instead of viewing price as directional movement alone, it visualizes the constant tension between trending force and equilibrium pull.
Uptrend Phases : The equilibrium mean tilts upward, with price oscillating around or slightly above the midline. Upper band touches signal momentum extension; lower touches reflect healthy reversion.
Downtrend Phases : The mean slopes downward, with upper-band interactions marking resistance zones and lower bands acting as reversion boundaries.
Equilibrium Transitions : Flat mean sections indicate balance or distribution phases. Breaks from these neutral zones often precede directional expansion.
Overextension Events : When price closes beyond an outer boundary, it marks statistically significant disequilibrium - an early warning of exhaustion or volatility reset.
Visually, the OU channel translates volatility and equilibrium into structured geometry, giving traders a statistical lens on trend quality, reversion probability, and volatility stress points.
Strategy Integration
The Ornstein-Uhlenbeck Trend Channel integrates seamlessly into both mean-reversion and trend-continuation systems:
Trend Alignment : Use mean slope direction to confirm higher-timeframe bias before entering continuation setups.
Reversion Entries : Target rejections from outer bands when supported by volume or divergence, capturing snapbacks toward equilibrium.
Volatility Breakout Mapping : Monitor boundary expansions to identify transition from compression to expansion phases.
Liquidity Zone Confirmation : Combine with BOS or order-block indicators to validate structural zones against equilibrium positioning.
Momentum Filtering : Align with oscillators or volume profiles to isolate equilibrium-based pullbacks with statistical context.
Technical Implementation Details
Core Engine : Stochastic Ornstein-Uhlenbeck process for continuous mean recalibration.
Volatility Framework : ATR- and deviation-based scaling for dynamic channel expansion.
Directional Logic : EMA-slope driven bias for adaptive mean tilt.
Channel Composition : Independent upper and lower envelopes with smoothing and transparency control.
Signal Structure : Alerts for mean crossovers and boundary breaches.
Performance Profile : Lightweight, multi-timeframe compatible implementation optimized for real-time responsiveness.
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Reactive equilibrium tracking for short-term scalping and microstructure analysis.
15 - 60 min : Medium-range setups for volatility-phase transitions and intraday structure.
4H - Daily : Macro equilibrium mapping for identifying exhaustion, distribution, or reaccumulation zones.
Suggested Configuration:
Mean Length : 20 - 50
Volatility Multiplier : 1.5× - 2.5×
Reversion Sensitivity : 0.4 - 0.8
Smoothing : 2 - 5
Parameter tuning should reflect asset liquidity, volatility, and desired reversion frequency.
Performance Characteristics
High Effectiveness:
Trending environments with cyclical pullbacks and volatility oscillation.
Markets exhibiting consistent equilibrium-return behavior (indices, majors, high-cap crypto).
Reduced Effectiveness:
Low-volatility consolidations with minimal variance.
Random walk markets lacking definable equilibrium anchors.
Integration Guidelines
Confluence Framework : Pair with BOSWaves structural tools or momentum oscillators for context validation.
Directional Control : Follow mean slope alignment for directional conviction before acting on channel extremes.
Risk Calibration : Use outer band violations for controlled contrarian entries or trailing stop management.
Multi-Timeframe Synergy : Derive macro equilibrium zones on higher timeframes and refine entries on lower levels.
Disclaimer
The Ornstein-Uhlenbeck Trend Channel is a professional-grade equilibrium and volatility framework. It is not predictive or profit-assured; performance depends on parameter calibration, volatility regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack combining structure, liquidity, and momentum context.
Dynamic S/R Zones (Verified Pivots)Dynamic S/R Zones V1.2
Overview
Dynamic S/R Zones V1.2 is a Pine v6 structure visualizer that highlights nearby Support/Resistance zones from confirmed swing pivots on the current chart and an optional higher timeframe (HTF). It can also plot simple Fibonacci guide levels (33% / 50% / 66%) between the most recent swing points. All HTF requests use lookahead_off to avoid forward-looking data, and S/R anchors are derived from verified pivots to minimize repainting. Optional “touch-verified” coloring flips a level’s display once price trades through it.
This tool is an illustrative S/R map for chart review and education.
How it works
Verified Pivots (Non-Repainting):
• Minor S/R uses ta.pivothigh/ta.pivotlow with a symmetric lookback (“Pivot Strength”).
• Lines anchor only on confirmed pivots, so once drawn they remain stable.
• A de-dup buffer filters out levels that are too close together.
HTF Major Zones:
• HTF OHLC is requested via request.security(..., lookahead=barmerge.lookahead_off).
• The same pivot logic runs on the HTF series; lines appear after the HTF bar closes.
• Major lines can be shown alongside (or instead of) minor lines.
Touch-Verified Coloring (optional):
• When a level is touched (high ≥ level ≥ low), it flips from neutral to a side color:
– Support (price above) ≈ green; Resistance (price below) ≈ red.
• The verification state is persistent for that line.
Fibonacci Guides (optional):
• Draws 33% / 50% / 66% between the last opposing swing high/low.
• Verification/coloring modes:
Pivot-Based: uses the most recent swing direction.
HTF Trend-Based: uses a fast/slow EMA comparison on a user-selected HTF.
Bounce/Reject Mode: color on touch regardless of trend interpretation.
• One arrow per bar (optional) indicates a newly verified fib touch.
What it displays
• Minor S/R lines from current-TF verified pivots (non-repainting anchors).
• Major S/R lines from HTF pivots (confirmed on HTF close).
• Optional labels that state level type, price, HTF tag, and Verified/Unverified status.
• Optional Fibonacci guide lines with labels, plus single-arrow confirmations.
• Coloring that reflects touch verification and current side (support/resistance).
Why it’s original
• Focuses on confirmed structure (minor + HTF) with de-duplication for clarity.
• Offers hybrid fib verification (pivot-based, HTF-trend-based, or bounce/reject) to let users study structure from multiple perspectives without asserting signals.
• Maintains persistent verification per level and avoids lookahead on HTF for stable, review-friendly visuals.
• Provides a compact workflow for scanning: minor structure, HTF context, then fib context.
Configuration & usage notes
• Pivot Strength: Higher values = stricter confirmation (fewer lines, more stable).
• Lookback Range: Prunes older lines; increase for broader context.
• HTF for Major S/R: Daily/4H/Weekly etc.; lines confirm on that timeframe’s close.
• Min Distance Between Levels: Helps reduce clutter from nearby duplicates.
• Touch-Verified Coloring: Enable for quick support/resistance side cues.
• Fibs: Choose coloring mode (Pivot-Based, HTF Trend-Based, or Bounce/Reject).
• HTF Trend TF / EMAs: Only affect coloring when using HTF trend mode for fibs.
• Performance: Labels and line counts can be tuned down on very long histories.
Limitations & assumptions
• Pivot detection depends on chart timeframe, liquidity, and chosen pivot length.
• HTF lines update after the HTF bar closes (by design, to avoid lookahead).
• Optional Realtime pivots for fibs (if enabled) are provisional and can shift until a swing verifies.
• Coloring and arrows are descriptive—they do not imply entries, exits, or probabilities.
Legal Disclaimer
These tools visualize calculations on historical data for charting and educational use only. They are not signals, recommendations, or promises of future results. Markets involve risk, and past results do not guarantee future outcomes. Provided “as is,” without warranties. Consider consulting a qualified professional before making decisions.
MTC – Multi-Timeframe Trend ConfirmatorMTC – Multi-Timeframe Trend Confirmator
The Ultimate Multi-Timeframe Trend Analysis Tool
MTC v6 is a comprehensive trend confirmation indicator that analyzes market conditions across multiple timeframes simultaneously. It combines six powerful technical indicators to give you a clear, visual representation of trend strength and direction.
🎯 Key Features
Visual Trend Gauge
Real-time trend strength display for 3 customizable timeframes
Progressive bar visualization (fills from left to right)
Color-coded signals: 🟢 Green (Bullish) | 🔴 Red (Bearish) | 🟡 Yellow (Ranging)
Score range: -10 to +10 for precise trend measurement
Multi-Indicator Analysis
The indicator combines 6 proven technical tools:
EMA 200 – Long-term trend direction
SMA 50/200 – Golden/Death cross signals
RSI 14 – Momentum confirmation
MACD – Trend strength validation
ADX (>25) – Trend intensity measurement (2x weight)
Supertrend – Dynamic support/resistance (2x weight)
⚙️ Customization Options
Flexible Timeframes: Set any timeframes you prefer (default: 15M, 1H, 4H)
Adjustable Gauge Size: Small, Medium, or Large display
Toggle Indicators: Enable/disable any of the 6 technical indicators
Supertrend Settings: Customize factor and ATR period
Built-in Alerts: Get notified when trends confirm
📈 How to Use
Score Interpretation:
Score > +2 = Bullish trend
Score < -2 = Bearish trend
Score between -2 and +2 = Ranging/Neutral
Multi-Timeframe Confirmation:
Look for alignment across timeframes for strongest signals
Higher timeframes confirm the overall trend direction
Lower timeframes help with precise entry timing
Visual Background:
Green background = Confirmed uptrend (Higher + Mid TF aligned)
Red background = Confirmed downtrend (Higher + Mid TF aligned)
💡 Perfect For
Swing traders seeking trend confirmation
Day traders analyzing multiple timeframes
Position traders validating long-term trends
Anyone who wants clear, visual trend analysis
Trade with confidence. Trade with confirmation. Trade with MTC
-Natantia
Inyerneck UT Bot 9 EMA V.sthis script is a custom ut bot signal generator using a 9 ema filter and atr based thresholds. it shows buy/sell signals based on crossover logic and works well for volitality based set ups. created by inyerneck
Launchpad & SlingshotOverview and Originality:
This indicator combines two complementary trading concepts—Launchpad (LP) and Slingshot (SS)—into a single, cohesive tool designed to identify potential trend continuations and reversals in trending markets. Launchpads provide context on overall trend alignment via stacked moving averages, acting as a filter for higher-probability setups, while Slingshot pinpoints precise entry timing during short-term pullbacks or bounces within those trends. This synergy reduces false signals by requiring both trend confirmation (LP) and momentum shift (SS), making it more robust than using either in isolation. Unlike simple merges, this script adds original enhancements such as a "curling" filter on the shortest Launchpad MA to ensure directional momentum, separate configurable MAs for bullish/bearish Slingshot thresholds, and combined LP/SS alerts for chained patterns (e.g., LP following SS). These improvements aim to enhance usability for trend-following strategies, particularly in volatile stocks or forex pairs, by providing visual labels, alerts, and multi-timeframe support without overcomplicating the core logic.
Underlying Concepts:
Launchpad (LP): Based on the idea of moving average "stacking," where shorter-period MAs align above longer ones in uptrends (bullish stack) or below in downtrends (bearish stack). This detects when price is in a strong, aligned trend phase, similar to how Guppy Multiple Moving Averages identify trend strength through ribbon compression/expansion. The script uses up to four customizable MAs (default: 8/21/50/200 EMAs of close), calculating the highest/lowest among included ones as the key crossover level. A signal triggers when the stack forms from a non-stacked state and price crosses the extreme MA, indicating potential trend acceleration.
Slingshot (SS): Draws from Scot1and's bullish pattern, which looks for price to remain below a 4-period EMA of highs for three consecutive bars (signaling a controlled pullback), then close above it (indicating rebound momentum). This script symmetrizes it for bearish cases using a separate 4-period EMA of lows, allowing detection of breakdowns after temporary bounces in downtrends. The separation of bull/bear sources is an original adaptation to better capture market structure asymmetry—highs for resistance in uptrends, lows for support in downtrends—reducing noise compared to a single-source approach.
The components work together by allowing users to spot "LP after SS" patterns: a Slingshot pullback/rebound followed by a Launchpad stack crossover, which often signals stronger continuations. This chained logic is grounded in momentum trading principles, where short-term mean reversion (SS) aligns with longer-term trend bias (LP) for improved risk-reward entries.
How It Works: The script calculates signals on each bar as follows:
Launchpad Calculations:
Build an array of included MAs (users can exclude any via inputs).
Check for stacking: For bull LP, shorter MAs > longer ones; for bear, shorter < longer.
Require a transition from non-stacked to stacked state.
Price must cross above the highest MA (bull) or below the lowest (bear).
Original filter: The shortest MA must be "curling" up (current > previous for bull) or down (current < previous for bear) to confirm recent momentum, preventing signals in counter-trend flattenings.
Slingshot Calculations:
Use separate MAs: Bull SS uses EMA of highs (default); Bear SS uses EMA of lows.
For bull SS: Close below bull MA for the prior N bars (default 3), then close above it.
For bear SS: Close above bear MA for prior N bars, then close below it.
No additional filters like volume or momentum jumps are applied, staying true to the pattern's simplicity.
Combined and Additional Signals:
"LP after SS": Triggers if LP occurs immediately after an SS, highlighting high-conviction setups.
Stack alerts: Pure stack with price above/below extremes, for trend monitoring.
All MAs can use multi-timeframe data via the timeframe input.
Alerts are set for each condition, and labels appear on the chart (configurable visibility, size, colors). Labels combine (e.g., "Bull LP & SS") if both trigger simultaneously.
How to Use It: Add the script to your chart via TradingView's indicator menu. Default settings suit daily/intraday charts for trending assets like stocks in bull markets (e.g., tech sector during rallies).
Interpretation:
Bull SS: Look for labels during uptrends; enter long on close above the blue Bull SS MA line after a 3-bar pullback. Use as a dip-buy signal.
Bear SS: In downtrends, enter short on close below the purple Bear SS MA after a 3-bar bounce.
Bull LP: Confirms trend strength; enter long on crossover if shortest MA is rising (green label).
Bear LP: Short entry on downside crossover with falling shortest MA (red label).
Prioritize "LP after SS" for layered confirmation—e.g., SS rebound leading into LP acceleration.
Monitor stack alerts for overall bias; avoid trading against the stack.
Customization:
Launchpad Group: Adjust lengths/sources/types; exclude MAs for simpler stacks (e.g., just 50/200 for long-term).
Slingshot Group: Change length (4 default), type (EMA), sources (high/low defaults), or preceding bars (3 default).
Display: Toggle labels, set timeframe (e.g., "D" for daily MAs on hourly chart), adjust offset for label positioning.
Test on historical data: Apply to strong trenders like AAPL or BTC; backtest entries with stops below recent lows.
For best results, combine with volume confirmation or broader market context—e.g., above 200-day MA for longs. This is not financial advice; always use risk management.
Smart Moving Average Dynamics [ChartNation]Smart Moving Average Dynamics (SMAD) — by Chart Nation
What it does:
SMAD maps how far price deviates from a chosen moving average and normalizes that distance into a bounded oscillator (−100…+100). It detects extreme expansions and prints non-repainting dots when the move exits an extreme. Price-level rails are drawn from those events (with optional fade/expiry) to highlight likely reaction zones. The MA line is colored by bias. A slim gauge summarizes the current oscillator percentile; a compact info panel shows TF, Trend, Volume rank, and Volatility rank.
How it works (high-level, closed-source)
Core signal: diff = price – MA(type, length) where MA can be SMA/EMA/RMA/WMA/VWMA.
Normalization (choose one):
Highest Abs (N): scales diff by the highest absolute excursion over N bars (fast, adaptive).
Z-Score: scales by stdev(diff, N) and maps ±σ to ±100 via a user factor.
ATR-Scaled: scales by ATR * k, relating deviation to current volatility.
Percent Rank: ranks the magnitude of |diff| over N bars and reapplies the original sign.
All methods clamp to −100…+100 to keep visuals consistent across assets/TFs.
Extremes & confirmation: Dots print only when an extreme exits ±100 (optionally on bar close) and can be filtered by linger bars and short-term slope flip, reducing one-bar spikes.
Rails: When an extreme confirms, a rail is anchored at the corresponding price swing and can soft-fade and/or expire after X bars.
Trend color: MA color = Up (green) when oscillator > threshold and MA slope > 0; Down (magenta) for the opposite; Neutral otherwise.
Context panels:
Slim Gauge: current oscillator bucket (0–20) with the exact normalized reading.
Info Panel: TF, Trend, and 0–100 percent-ranks of Volume and ATR-based volatility grouped as Low / Medium / High.
SMAD isn’t a collection of plots; it’s a single framework that integrates:
a deviation-from-MA engine,
four interchangeable normalization models (selected per market regime),
a gated extreme detector (linger + slope + confirm-on-close), and
time-aware rails with soft fade/expiry, presented with a minimal gauge and info panel so traders can compare regimes across TFs without recalibrating thresholds.
How to use (examples, not signals)
Mean-revert plays: When price exits an extreme and prints a dot, look for reactions near the new rail. Combine with your S/R and risk model.
Trend continuation: In strong trends the oscillator will spend more time above/below zero; the colored MA helps keep you aligned and avoid fading every push.
Regime switching: Try Percent Rank or ATR-Scaled on choppy/alts; Z-Score on majors; Highest Abs (N) when you want fastest adaptation.
Risk ideas: Rails can be used as partial-take or invalidate levels. Always backtest on your pair/TF.
Key settings
Normalization: Highest Abs / Z-Score / ATR-Scaled / Percent Rank (with N & factors).
Filters: Extreme threshold, linger bars, slope lookback, confirm on close.
Rails: Expire after X bars; soft-fade step.
Panels: Slim gauge (bottom-right), Info panel (middle-right).
Notes & limits
Prints confirm after the extreme exits ±100; nothing repaints retroactively.
Normalization can change sensitivity—choose the one matching your asset’s regime.
Dynamic Fractal Flow [Alpha Extract]An advanced momentum oscillator that combines fractal market structure analysis with adaptive volatility weighting and multi-derivative calculus to identify high-probability trend reversals and continuation patterns. Utilizing sophisticated noise filtering through choppiness indexing and efficiency ratio analysis, this indicator delivers entries that adapt to changing market regimes while reducing false signals during consolidation via multi-layer confirmation centered on acceleration analysis, statistical band context, and dynamic omega weighting—without any divergence detection.
🔶 Fractal-Based Market Structure Detection
Employs Williams Fractal methodology to identify pivotal market highs and lows, calculating normalized price position within the established fractal range to generate oscillator signals based on structural positioning. The system tracks fractal points dynamically and computes relative positioning with ATR fallback protection, ensuring continuous signal generation even during extended trending periods without fractal formation.
🔶 Dynamic Omega Weighting System
Implements an adaptive weighting algorithm that adjusts signal emphasis based on real-time volatility conditions and volume strength, calculating dynamic omega coefficients ranging from 0.3 to 0.9. The system applies heavier weighting to recent price action during high-conviction moves while reducing sensitivity during low-volume environments, mitigating lag inherent in fixed-period calculations through volatility normalization and volume-strength integration.
🔶 Cascading Robustness Filtering
Features up to five stages of progressive EMA smoothing with user-adjustable robustness steps, each layer systematically filtering microstructure noise while preserving essential trend information. Smoothing periods scale with the chosen fractal length and robustness steps using a fixed smoothing multiplier for consistent, predictable behavior.
🔶 Adaptive Noise Suppression Engine
Integrates dual-component noise filtering combining Choppiness Index calculation with Kaufman’s Efficiency Ratio to detect ranging versus trending market conditions. The system applies dynamic damping that maintains full signal strength during trending environments while suppressing signals during choppy consolidation, aligning output with the prevailing regime.
🔶 Acceleration and Jerk Analysis Framework
Calculates second-derivative acceleration and third-derivative jerk to identify explosive momentum shifts before they fully materialize on traditional indicators. Detects bullish acceleration when both acceleration and jerk turn positive in negative oscillator territory, and bearish acceleration when both turn negative in positive territory, providing early entry signals for high-velocity trend initiation phases.
🔶 Multi-Layer Signal Generation Architecture
Combines three primary signal types with hierarchical validation: acceleration signals, band crossover entries, and threshold momentum signals. Each signal category includes momentum confirmation, trend-state validation, and statistical band context; signals are further conditioned by band squeeze detection to avoid low-probability entries during compression phases. Divergence is intentionally excluded for a purely structure- and momentum-driven approach.
🔶 Dynamic Statistical Band System
Utilizes Bollinger-style standard deviation bands with configurable multiplier and length to create adaptive threshold zones that expand during volatile periods and contract during consolidation. Includes band squeeze detection to identify compression phases that typically precede expansion, with signal suppression during squeezes to prevent premature entries.
🔶 Gradient Color Visualization System
Features color gradient mapping that dynamically adjusts line intensity based on signal strength, transitioning from neutral gray to progressively intense bullish or bearish colors as conviction increases. Includes gradient fills between the signal line and zero with transparency scaling based on oscillator intensity for immediate visual confirmation of trend strength and directional bias.
All analysis provided by Alpha Extract is for educational and informational purposes only. The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations.
Multi Pivot Trend [BigBeluga]🔵 OVERVIEW
The Multi Pivot Trend is an advanced market-structure-driven trend engine that evaluates trend strength by scanning multiple pivot breakouts simultaneously.
Instead of relying on a single swing length, it tracks breakouts across ten increasing pivot lengths — then averages their behavior to produce a smooth, reliable trend reading.
Mitigation logic (close, wick, or HL2 touches) controls how breakouts are confirmed, giving traders institutional-style flexibility similar to BOS/CHoCH validation rules.
This indicator not only colors candles based on trend strength, but also extends trend strength and volatility-scaled projection candles to show where trend pressure may expand next.
Pivot breakout lines and labels mark key changes, making the trend transitions extremely clear.
🔵 CONCEPTS
Market trend strength is reflected by multiple pivot breakouts, not just one.
The indicator analyzes ten pivot structures from smaller to larger swings.
Each bullish or bearish pivot breakout contributes to trend score.
Mitigation options (close / wick / HL2) imitate smart-money breakout confirmation logic.
Trend score is averaged and translated into colors and extension bars.
Neutral regime ≈ weak trend or transition zone (trend compression).
🔵 FEATURES
Multi-Pivot Engine — tracks 10 pivot-based trend signals simultaneously.
Mitigation Modes :
• Close — breakout requires candle close beyond pivot
• Wicks — breakout requires wick violation
• HL2 — breakout confirmed when average (H+L)/2 crosses level
Dynamic Color System :
• Blue → confirmed bullish rotation
• Red → confirmed bearish rotation
• Orange → neutral / transition state
Breakout Visualization — draws pivot breakout lines in real-time.
Trend Labels — prints trend %.
Trend Volatility-Scaled Extension Candles — ATR/trend strength based candle projections show momentum continuation strength.
Gradient Pivot Encoding — higher pivot lengths = deeper structure considered.
🔵 HOW TO USE
Use strong blue/red periods to follow dominant structural trend.
Watch for color transition into orange — possible trend change or consolidation.
Pivot breakout lines help validate structure shifts without clutter.
Wick mitigation catches aggressive liquidity-sweep based breaks.
Close/HL2 mitigation catches cleaner market structure rotations.
Extension bars visualize trend pressure — large extensions = strong push.
Best paired with volume or volatility confirmation tools.
🔵 CONCLUSION
The Multi Pivot Trend is a structural trend recognition system that blends multiple pivot breakouts into one clean trend score — with institutional-style mitigation logic and volatility-projected trend extensions.
It gives traders a powerful, visually intuitive way to track momentum, spot trend rotations early, and understand true structural flow beyond simple MA-based approaches.
Use it to stay aligned with the dominant swing direction while avoiding noise and false flips.
