ULTIMATE SMC FUSION 💎 ULTIMATE SMC FUSION
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A premier Smart Money Concepts (SMC) indicator that masterfully combines multi-dimensional structure analysis with precision momentum filtering. This edition is optimized for manual SMC traders looking for clarity and performance.
🚀 KEY FEATURES:
• FULL SMC SUITE: Automated Break of Structure (BOS) and Change of Character (CHoCH) detection.
• HTF ADAPTIVITY: Fine-tuned logic specifically for $30m$, $1h$, and $4h$ charts to catch the major institutional moves.
• PRECISION REVERSAL ENGINE: Advanced detection for Pinbar and Engulfing patterns at key liquidity zones.
• SMART SCORING SYSTEM: Integrated analysis of ADX (Trend Strength), RSI (Momentum), and Volume.
• ZERO-API ARCHITECTURE: Streamlined for maximum efficiency on your local TradingView terminal.
• 2026 V2026 VISUALS: Modern, premium interface with glassmorphic stats and high-contrast signals.
BEST FOR: SMC Traders, Prop Firm Challenges, and High-Precision Analysis.
Feel free to adjust the settings to your own needs.
Do not put your full confidence into a script, make your own decisions allways.
Trade at your own risk.
Análisis de tendencia
Fibonacci Entry Zone [OTE] (@ath.snipr)🇬🇧 English Description
📌 Fibonacci Entry Zone – @ath.snipr
Fibonacci Entry Zone is an indicator designed to automatically detect market structure, identify Change of Character (CHoCH), and project Optimal Trade Entry (OTE) zones using Fibonacci retracements.
It is suitable for scalping, day trading, and swing trading across all markets (Forex, indices, crypto, commodities).
🎯 Indicator Purpose
This indicator helps traders to:
✔ Detect significant swing highs and lows
✔ Identify structure shifts (CHoCH)
✔ Automatically draw Fibonacci retracement levels
✔ Highlight the Golden Zone (OTE)
✔ Dynamically track new swings in real-time
The goal is to patiently wait for price to retrace into a high-probability value area instead of chasing price.
🧠 How It Works
1️⃣ Market Structure Detection
The algorithm detects price pivots to identify:
📈 Bullish structure: Higher High / Higher Low
📉 Bearish structure: Lower High / Lower Low
When a structure shift occurs, a CHoCH label appears and a new Fibonacci projection is automatically created.
2️⃣ Fibonacci OTE Levels
Fibonacci levels are calculated between the latest swing high and swing low.
Default levels:
0.50
0.618
These represent the Optimal Trade Entry (OTE) zone where price statistically reacts more often.
The Golden Zone can be filled for better visualization.
3️⃣ Dynamic Updates
When Swing Tracker is enabled:
Fibonacci levels automatically update as new swings form.
The projection always stays aligned with the current market structure.
4️⃣ Visual Elements
The indicator displays:
✔ CHoCH labels
✔ Break of Structure lines
✔ Swing trend line (dotted)
✔ Swing price labels
✔ Extended Fibonacci levels
Everything is fully customizable.
🛠️ Key Settings
Structure
Structure Period – Swing sensitivity (higher = stronger structure).
Bullish / Bearish – Enable bullish or bearish structures.
BoS Width – Structure line thickness.
Fibonacci Mode
Swing Tracker – Auto-update Fibonacci levels.
Swing Line – Show swing connection line.
Swing Labels – Show swing price labels.
Fibonacci
Extend – Extend levels to current price.
Previous – Keep previous levels.
Fill Golden Zone – Highlight OTE zone.
Levels – Customize Fibonacci levels.
📈 How to Trade with It (example)
▶ Bullish Scenario
A bullish CHoCH appears.
Price impulsively moves up.
Wait for a retracement into the Golden Zone (0.5 – 0.618).
Confirm with your strategy (price action, liquidity, SMT, etc.).
Enter long with stop below the last swing low.
▶ Bearish Scenario
Same logic in reverse.
⚠️ Disclaimer
This indicator is a decision-support tool only.
It does not guarantee profits and must be used with proper risk management and personal confirmation.
Super Regression Trend█ OVERVIEW
Super Regression Trend is an advanced trend-following indicator that combines classic linear regression with a SuperTrend mechanism based on RMSE (Root Mean Square Error). Instead of traditional ATR, it uses price deviations from the regression line, allowing for highly precise adaptation to current market volatility. The indicator is clean, dynamic, and equipped with optional risk management tools — automatic Take Profit and Stop Loss levels displayed after each trend reversal signal. Perfect for traders seeking solid trend confirmation with built-in position management support.
█ CONCEPT
The indicator was created to combine the advantages of linear regression (smooth trend tracking) with the reliability of the SuperTrend mechanism (trailing stop).
The key element is calculating RMSE based on deviations of the source price from the regression line over a specified period. The band around the regression (RMSE × multiplier) creates dynamic, trailing upper and lower levels. The trend changes only after price closes beyond this band — this allows the indicator to react quickly to new impulses while effectively filtering noise and false breakouts in consolidation.
█ FEATURES
Data source:
- Source price (default: close)
- Regression Length
Calculations:
- Linear regression line (ta.linreg)
- RMSE of deviations within the length window
- Upper and lower bands: regression ± (RMSE × Multiplier)
Trailing mechanism:
Levels are “pulled” in the direction opposite to the trend (minimized/maximized)
Trend change logic:
- Down → Up: close > upper band
- Up → Down: close < lower band
Visualization:
- SuperTrend line with breaks at reversal points
- Optional gradient fill between SuperTrend line and regression
- Optional bar coloring based on current trend
- “Buy” labels (green upward arrow) and “Sell” labels (red downward arrow) only on confirmed trend changes
Risk management:
- Optional automatic TP1/TP2/TP3 and SL levels after each signal
Two calculation modes:
- Candle Multiplier – multiplier of average candle body size (SMA(|open–close|))
- Percentage – percentage of the signal close price
Levels drawn as short horizontal lines
Persistent table in the top-right corner with current TP/SL values
Alerts:
- Buy Signal – triggers only on confirmed uptrend change
- Sell Signal – triggers only on confirmed downtrend change
█ HOW TO USE
Add to chart → paste the code in Pine Editor or search for “Super Regression Trend”.
Main settings:
- Regression Length → default 20 (regression window length)
- RMSE Multiplier → default 2 (key sensitivity parameter)
- Show SuperTrend Line / Fill to Regression / Color Bars → visual options
- Show TP/SL Levels → enable/disable risk management tools
- TP/SL Calculation Mode → “Candle Multiplier” or “Percentage”
- Multipliers/percentages for TP1–TP3 and SL → fully customizable
Interpretation:
- Green line and shading = uptrend
- Red line and shading = downtrend
- Higher RMSE Multiplier = fewer signals, higher quality
- Lower Multiplier = faster reaction, more signals (aggressive mode)
█ APPLICATIONS
Excellent for:
- Classic trend-following (enter with trend, exit on reversal)
- Momentum and breakout strategies
- Automated position management with optional TP/SL levels
Best combined with:
- Support/resistance levels, Pivot Points, psychological round numbers
- Confirmation from oscillators (RSI, Stochastic, MACD)
- Volume or volume profile analysis
Style adaptation:
- Scalping / daytrading → shorter regression length (10–20) and lower Multiplier (1.5–2.0)
- Swing / longer-term positions → longer regression (30–50) and higher Multiplier (2.0–3.0)
█ NOTES
- Works on all markets and timeframes
- Effectiveness depends on matching the RMSE Multiplier to the instrument’s volatility
- Higher Multiplier and Length values = fewer, but significantly more reliable signals
Silver vs S&P 500 (Rebased to 100) I have ensured that silver prices and the s&p 500 price are overlayed to give the common folk an understanding. The important part is that the prices are rebased in nature. i.e. if they both started at 100 from an n year which in this case is 1992.
Table - Trend Multi TF+RSI+Stoch-ByBankTHTable
Trend+RSI+Stoch
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EDUVEST QQE Grade System - S/A/B/C Signal ClassificationEDUVEST QQE Grade System - S/A/B/C Signal Classification
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█ ORIGINALITY
This indicator introduces a unique grading system (S/A/B/C) for QQE signals, combining traditional QQE analysis with SMC (Smart Money Concepts) price zones and trading session filters. Unlike standard QQE indicators that show all signals equally, this version classifies signals by quality to help traders focus on the highest probability setups.
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█ WHAT IT DOES
- Generates BUY/SELL signals with S/A/B/C grade classification
- Automatically detects asset type and applies optimized QQE factors
- Integrates SMC price zones (support/resistance) for grade enhancement
- Filters signals by trading session time
- Displays real-time session and market status
Grade Hierarchy:
- S (Gold/Orange): Signal near SMC zone + active trading hours - Highest quality
- A (Green/Red): Score 70+ during trading hours - High quality
- B (Darker): Score 50-69 during trading hours - Medium quality
- C (Gray, small): Outside trading hours or weak signal - Low quality
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█ HOW IT WORKS
【QQE Core Calculation】
The QQE (Quantitative Qualitative Estimation) is calculated as:
1. RSI with configurable period (default: 14)
2. EMA smoothing of RSI (Smoothing Factor: 5)
3. Dynamic bands using Wilder's smoothing: RSI ± (ATR of RSI × QQE Factor)
QQE Factor is auto-adjusted per asset:
- USD/JPY: 4.238
- EUR/USD: 3.8
- Gold (XAU/USD): 8.0
- NASDAQ/US100: 9.0
【Signal Generation】
- BUY: QQE line crosses above its trailing stop (QQExlong == 1)
- SELL: QQE line crosses below its trailing stop (QQExshort == 1)
【Internal Scoring System】
Score components (0-100):
- Signal Base: +25 points when signal occurs
- QQE Strength: +10 to +20 based on RSI distance from 50
- Volatility: +15 (optimal ATR ratio 1.1-2.0), -10 (low volatility)
- Volume Confirmation: +10 (high volume), -5 (low volume)
- Session Bonus: +5 during London/NY sessions
- Base: +20 points
【Grade Assignment】
- Grade S: Signal near user-defined SMC price zone (within tolerance %) AND during trading hours
- Grade A: Internal score >= 70 AND during trading hours
- Grade B: Internal score >= 50 AND during trading hours
- Grade C: Outside trading hours OR score < 50
【SMC Price Zone Integration】
Users can set support/resistance levels for each asset. When price is within the tolerance percentage of these levels, signals are upgraded to S-grade, indicating confluence with institutional price levels.
【Trading Session Filter】
Configurable active trading hours (JST timezone):
- Default: 15:00 - 01:00 JST (London + NY overlap)
- Signals outside this window receive C-grade
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15M, 1H, 4H
- Best on: USD/JPY, EUR/USD, Gold, NASDAQ
- Focus on: S and A grade signals
【Trading Strategy】
- S-Grade (Gold/Orange): Highest conviction - consider larger position
- A-Grade (Green/Red): Strong signal - standard position
- B-Grade: Valid but use additional confirmation
- C-Grade: Avoid or use minimal size
【Setting Up SMC Zones】
1. Identify key support/resistance on higher timeframe
2. Input prices in SMC Price Settings
3. Adjust tolerance % (default: 0.15%)
4. S-grade appears when signal occurs near these levels
【Info Panel】
Top-right panel shows:
- Asset name and detection mode (Auto/Manual)
- Current session (Tokyo/London/NY)
- Trading hours status
- SMC zone proximity
【Alert Setup】
1. Enable alerts in settings
2. Create alert with "Any alert() function call"
3. Alerts include grade, price, and session info
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█ SETTINGS
Basic Settings:
- Enable Alerts: Turn on/off notifications
- Time Filter: Activate trading hour filter
- Start/End Hour: Define active trading window (JST)
QQE Settings:
- RSI Period: RSI calculation period
- RSI Smoothing: EMA smoothing factor
- Auto QQE Factor: Auto-detect optimal factor per asset
- Manual QQE Factor: Override when auto is disabled
SMC Price Settings:
- Support/Resistance levels for each asset
- Tolerance %: How close to SMC line for S-grade
Display Settings:
- Grade Only: Hide QQE lines, show only signals
- Show SMC Lines: Display support/resistance on chart
- Show Debug: Display asset detection info
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█ CREDITS
QQE concept originally developed by John Ehlers.
SMC (Smart Money Concepts) integration and grading system by EduVest.
License: Mozilla Public License 2.0
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
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity
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█ ORIGINALITY
This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation.
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█ WHAT IT DOES
- Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average
- Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY)
- Auto-detects asset type and applies optimized parameters for each instrument
- Displays real-time session information and volatility status
- Provides alert functionality with customizable cooldown periods
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█ HOW IT WORKS
【Core Logic: ATR Trailing Stop】
The indicator calculates an ATR-based trailing stop using the formula:
Trailing Stop = Price ± (Sensitivity × ATR)
When price is above the trailing stop and rising, the stop trails below price.
When price is below the trailing stop and falling, the stop trails above price.
【Signal Generation】
- BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop
- SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop
【Session-Based Sensitivity Adjustment】
The indicator adjusts ATR sensitivity based on trading session (JST timezone):
- Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets
- London (15:00-23:00): Base sensitivity - moderate volatility
- New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility
【Dynamic ATR Adjustment】
When enabled, the indicator compares current ATR to its smoothed average:
- ATR Ratio = Current ATR / SMA(ATR, smoothing period)
- Volatility Multiplier = 1.0 + (Sensitivity × (2.0 - ATR Ratio))
This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response).
【Auto Asset Detection】
The indicator automatically detects the traded instrument and applies optimized parameters:
- Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8
- Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3
- Volatile pairs (GBPUSD): Base sensitivity 2.8
- Commodities (GOLD/XAUUSD): Base sensitivity 3.5
- Indices (NASDAQ/NAS100): Base sensitivity 4.0
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15 minutes or higher (15M, 1H, 4H recommended)
- Best performance on: Forex majors, Gold, NASDAQ
- Enable "Auto Asset Detection" for optimized parameters
【Entry Rules】
- BUY: Enter long when green BUY label appears
- SELL: Enter short when pink SELL label appears
【Session Panel】
The top-right panel displays:
- Current trading session (Tokyo/London/NY)
- Volatility status (High Chance/Medium Chance/Caution)
- Mode (AUTO/MANUAL)
【Alert Setup】
1. Enable "Viewer Alert Display" in settings
2. Set cooldown period (default: 15 minutes) to avoid signal spam
3. Create alert with "Any alert() function call" condition
【Important Notes】
- This indicator does not repaint - signals are confirmed at bar close
- Lower timeframes (1M, 5M) may generate excessive signals
- Always use proper risk management and confirm with other analysis
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█ SETTINGS OVERVIEW
🎯 Alert Settings
- Viewer Alert Display: Enable/disable alert labels
- Cooldown Function: Prevent rapid consecutive signals
- Cooldown Time: Minutes between alerts (5-60)
🔧 Dynamic ATR Settings
- Enable Dynamic ATR: Auto-adjust based on volatility
- ATR Period: Calculation period (default: 14)
- ATR Smoothing: Smoothing period for ratio calculation
- Volatility Sensitivity: How much to adjust (0.1-1.0)
🕐 Session ATR Adjustment
- Enable Time Adjustment: Session-based sensitivity
- Show Session Info: Display session panel
📊 Asset Settings
- Auto Asset Detection: Automatically optimize for instrument
- Manual settings available when auto-detection is disabled
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█ CREDITS
Based on the original UT Bot concept by QuantNomad.
Enhanced with session-based adaptation and auto-asset detection by EduVest.
License: Mozilla Public License 2.0
Step Channel█ OVERVIEW
"Step Channel" is a technical analysis indicator that builds a dynamic price channel based on market volatility (ATR) and a step-like logic for updating levels. It is ideal for traders using market structure analysis, price action, as well as trend-following, range-bound, and breakout strategies.
Thanks to the adjustable channel width, the indicator can be easily adapted to various instruments, timeframes, and trading styles – from scalping to swing trading.
█ CONCEPTS
The indicator is a universal trading tool that supports trend detection, trading in consolidation, and breakout-based strategies.
The key feature is the step-like update of the baseline (MID). Unlike classic moving averages:
- the MID line does not react to every candle
- it updates only after breaking a volatility-based level
- each breakout creates a new "step" in the market structure
This keeps the market structure clear, with regime changes being distinct and objective.
█ FEATURES
ATR-based dynamic channel
The channel width automatically adjusts to current volatility – widening during high-activity periods and narrowing in consolidations, ensuring constant adaptation to market conditions.
Structural MID line
Central, adaptive trend line updated in steps after a breakout.
Inner levels (IN)
The zone of typical price movement within the structure. These levels change only after a sustained breakout confirmed by candle close – this exact breakout generates the structural signals (Step UP/DOWN).
Outer levels (OUT)
An orientational zone indicating the potential reach of a strong, single price move beyond the current structure. Price never stays in this zone (levels shift immediately after breaking IN). Primarily used as:
- main take-profit levels
- dynamic SL in aggressive strategies
Structural signals
Generated exclusively at the moment of a real structure change:
- Step UP – upside breakout
- Step DOWN – downside breakout
Signals appear only on the breakout candle.
Built-in alerts
Instant notifications for:
- Step UP
- Step DOWN
█ HOW TO USE
Adding to the chart
Search in the TradingView indicators library: "Step Channel" or paste the code in Pine Editor.
Key parameter configuration:
- ATR Length – longer value = more stable structure (fewer signals)
- Inner Multiplier – sensitivity of inner levels (lower = narrower operational channel)
- Outer Multiplier – reach of outer extremes (higher = further TP)
- Price position interpretation:
- near MID → market equilibrium, potential consolidation
- in IN zone → healthy, controlled trend move
- in OUT zone → only an orientational target for extreme move (price does not stay in this zone)
█ APPLICATIONS
- Trend strategies – entries after Step UP/DOWN signal in the direction of the new trend, re-entry at MID, trailing stop along MID; generally positions only in line with the current structure direction
- Range trading – buying at lower IN/OUT and selling at upper IN/OUT in the absence of structure change
- Breakout strategies – entries on breakout candle close with volume or HTF confirmation
- Position management – SL behind MID or opposite IN, TP at OUT (full) or IN (partial)
- Scalping on low timeframes – quick trades inside the IN channel with tight SL
- Swing trading – trend filtering on HTF and precise entries on LTF after structural signal
█ NOTES
- works on all markets and timeframes
- requires individual adjustment of multipliers to the instrument and trading style
- recommended to use with additional indicators, e.g. RSI, Fibonacci, pivots
Pullback Master Pro v2Yes, excellent for scalping too when used on lower timeframes (1-15 min):
Why it works for scalping:
Quick pullback identification for fast entries
EMA slope changes catch momentum shifts early
RSI extremes pinpoint overextended moves
Volume spikes confirm momentum entries
Fast signals for quick in-and-out trades
Scalping Setup:
Use on 1-5 minute charts
Set higher timeframe to 15-30 minutes for trend filter
Shorter EMA periods (5-9) for faster signals
Small pullback depth (5-15%) for tighter entries
The indicator's real-time signals and clean visualization make it ideal for rapid scalping decisions.
Pullback Master ProPullback Master Pro - Scalping & Swing Trading Indicator
Perfect for both scalping and swing trading:
For Scalpers (1-5 min charts):
Quick pullback signals with fast EMA response
Real-time RSI/volume confirmation for rapid entries
Clean signals for fast in/out decisions
For Swing Traders (1H-4H charts):
Multi-timeframe trend filtering for higher accuracy
Deep pullback detection for better risk/reward
Sustained momentum signals for longer holds
Core Features:
Pullback detection with customizable depth
Multi-timeframe trend alignment
RSI + Volume + EMA confluence
Adjustable signal display (opacity, position, size)
Always-visible 3×6 data table
Multiple themes and customization options
One indicator for all timeframes - works equally well for quick scalps and strategic swing trades by adjusting the settings.
Ultra-Compact MTF EMAsimple indicator which shows you the trend on other timeframes. fully customizable
EMA 50 / EMA 200 Crossoversimple indicator to use with the others. this one gives a signal when ema 50 crosses 200. you can set an alert and snipe the best entry!
MTF EMA Cross Labels perfect indicator to make trading on your phone easier. all info on 1 screen.
ema's are adjustable
Auto Fibo Pivot [Ultimate MTF]Stocks: Locks lines during market hours (09:00-15:30) and switches to "Preview Mode" (Next Day) after market close.
Forex/Crypto: Always Fixed Mode (24h).
Multi-Timeframe (MTF): Select between Auto Daily, Weekly, Monthly, or Yearly pivots.
Fully Customizable: Easily change Fibonacci ratios and colors in the settings.
No Repaint: Stable lines on 1-minute charts.
自動判別・マルチタイムフレーム対応のフィボナッチピボット
株・為替を自動判別し、最適なモードで動作する実戦向けインジケーターです。
主な機能:
自動判別機能:
日本株: ザラ場中はラインを完全固定。15:30以降は自動で「明日の予習モード」に切り替わります。
為替・仮想通貨: 24時間常時固定モードで動作します。
Supply & Demand (MTF) [Bearly Invested]Overview
This multi-timeframe supply and demand zone indicator identifies institutional price areas using a unique "Last 2 Opposite Candles" methodology. Unlike traditional support/resistance indicators, this script detects zones by analyzing momentum-based impulse moves and marking the base formed by the last two opposite-colored candles before the displacement.
How It Works
Zone Detection Logic
The indicator identifies supply and demand zones through a four-step process:
Momentum Detection: Monitors for consecutive candles with body sizes exceeding the 20-period average body size by a configurable multiplier (default 0.5x)
Impulse Confirmation: When the required number of momentum candles (default: 4 candles within 4-bar span) is detected, the script identifies a potential impulse move
Base Identification: Looks back through all consecutive momentum bars, then scans up to 50 bars to find the last two opposite-colored candles that formed before the impulse
Zone Creation: Creates a supply/demand zone using the combined high and low of those two opposite candles
Multi-Timeframe Analysis
The indicator supports up to three simultaneous timeframes, allowing you to identify higher timeframe zones while trading on lower timeframes. Each timeframe independently calculates zones using its own momentum criteria, providing confluence when multiple timeframe zones align.
Zone Combination Feature
When "Combine Zones" is enabled, overlapping zones from different timeframes or detection instances are automatically merged into single zones. Combined zones display all contributing timeframes in the label (e.g., "15 Min & 30 Min").
Zone Management
Invalidation Methods
Choose between two zone invalidation approaches:
Wick: Zone remains valid until price wicks through the boundary
Close: Zone remains valid until a candle closes through the boundary
Zone Filtering
The script includes built-in filters to reduce noise:
Minimum zone size requirement (10 bars on detection timeframe)
Maximum zone size limit (1.5x ATR)
Minimum 5-bar cooldown between new zone detections
Distance-based filtering (zones beyond max lookback are hidden)
Key Features
Retest & Break Detection
Retests: Automatically marks when price retests an active zone with "R" labels
Breaks: Optionally displays "B" labels when zones are invalidated
Built-in cooldown system prevents label spam (5-bar minimum between retests)
Alert Conditions
Four alert types are included:
Supply Zone Retest
Demand Zone Retest
Supply Zone Break
Demand Zone Break
Configuration Guide
General Settings
Zone Count: High (30 zones), Medium (5), Low (3), or One (single most recent zone per type)
Momentum Count: Number of consecutive momentum candles required (default: 4)
Momentum Span: Maximum bars to scan for momentum confirmation (default: 4)
Max Lookback For Opposite Candles: How far back to search for base candles (default: 50)
Max Distance To Last Bar: Controls historical zone visibility (High: 1250 bars, Normal: 500, Low: 150)
Timeframe Configuration
Enable up to three timeframes simultaneously. When multiple timeframes show the same value (e.g., chart timeframe), duplicate detection automatically disables redundant calculations.
Visual Options
Customizable supply/demand colors with transparency
"Show Historic Zones" toggles visibility of broken/invalidated zones
Text color and label positioning controls
Combined zones display with increased opacity for emphasis
Best Practices
Timeframe Selection: Use higher timeframes (15m, 30m, 1H) for swing trades; lower timeframes work for scalping when combined with HTF confluence
Zone Invalidation: "Close" method reduces false breaks from wicks; "Wick" method is more conservative
Zone Count: Start with "Medium" or "Low" settings to avoid chart clutter, especially on lower timeframes
Momentum Parameters: Lower values (3-4) detect more zones; higher values (5-6) create stricter, higher-quality zones
Combine Zones: Enable this feature to merge overlapping multi-timeframe zones for cleaner charts and stronger confluence areas
Important Notes
Zones are calculated in real-time on the detection timeframe and displayed on your chart timeframe
The indicator looks back a maximum of 2000 bars for calculations
Maximum of 500 boxes/labels can be displayed simultaneously due to Pine Script limitations
Zones older than the "Max Distance" setting are automatically hidden but still tracked for break/retest detection
The "Last 2 Opposite Candles" method may produce zones of varying sizes depending on the range of those base candles
Volatility Trend Score [BackQuant]Volatility Trend Score
Overview
Volatility Trend Score is a trend-strength and regime-evaluation indicator built to measure directional persistence, not just direction. Most trend tools answer “up or down” using slope, crossovers, or a single condition. This indicator answers a more useful question for real trading: “How consistently is trend structure holding up once volatility is accounted for?”
It does this by building a volatility-scaled trailing structure (ATR-based) and then scoring how that structure evolves over a configurable lookback range. The output is a continuous score that rises when trend is persistent and decays when price action becomes noisy, mean-reverting, or unstable.
What it is measuring (the real goal)
This indicator is not trying to predict reversals. It is trying to quantify whether the market is behaving like a trend market or a chop market. It focuses on:
Persistence: does structure keep pushing in one direction bar after bar?
Stability: are pullbacks being absorbed without breaking the trailing structure?
Regime: is the market trending strongly enough to justify directional bias?
If you already have entries from other systems, this becomes a high-quality trend filter and trade management layer.
Core idea
At its foundation, the indicator combines two parts:
A volatility-adjusted trailing level derived from ATR and a user-defined factor.
A rolling persistence score that compares the current trail to prior trail values over a configurable loop window.
The trailing structure adapts to volatility and enforces one-sided movement, while the scoring logic converts that behavior into a numeric measure of trend quality.
Inputs and what they actually control
Average True Range Period (calc_p)
Defines the ATR window used to estimate volatility. A higher value smooths the volatility estimate and makes the trailing structure less reactive.
Factor (atr_factor)
Scales the ATR band size. Higher values widen the trailing band, filtering more noise, reducing flip frequency, and generally producing slower but more stable regimes.
For Loop Start/End (start/end)
Defines the comparison window used to build the score. It effectively sets how many historical trail values the current trail is compared against.
Shorter ranges produce a faster, more responsive score.
Longer ranges produce a slower, more “confidence-based” score that only climbs when trend persistence is sustained.
Long/Short Thresholds (thresL/thresS)
Convert a continuous score into regime thresholds.
Long threshold is a “trend quality requirement” for bullish bias.
Short threshold is used as a deterioration / breakdown trigger via crossunder logic.
Volatility-adjusted trailing structure
The trailing line is built from ATR bands around price:
up = close + ATR * factor
dn = close - ATR * factor
Then a trailing value is maintained with one-sided ratcheting behavior:
If dn rises above the previous trail, the trail steps up (ratchets upward).
If up drops below the previous trail, the trail steps down (ratchets downward).
This “ratchet” behavior is important. It prevents the trail from oscillating with small countertrend moves, forcing the trail to represent meaningful structure rather than micro-noise. On-chart, this trail often behaves like dynamic support/resistance in trends.
Why the trail is a better base than raw price
Price itself is noisy, and volatility changes the meaning of “big move” vs “small move.” By anchoring structure to ATR:
A move is interpreted relative to current volatility, not in absolute points.
High-volatility chop is less likely to be misread as a trend.
Trend structure is normalized across assets and timeframes more reliably.
This is why the score remains usable even when switching from low-vol assets to high-vol crypto pairs.
Trend scoring logic
The score is built by repeatedly comparing the current trailing value to trailing values from prior bars across a loop window:
If current trail > trail , add +1
If current trail < trail , add -1
This is a persistence test, not a momentum calculation. In a strong trend, the trail should generally keep stepping in the trend direction, so current values will be greater than many past values (bullish) or lower than many past values (bearish). In chop, the trail fails to progress meaningfully, so the score compresses, oscillates, or bleeds out.
How to interpret the score
Think of the score as a “trend conviction meter”:
High positive values: bullish persistence, structure is advancing consistently.
Low positive values: bullish bias may exist, but trend quality is weak or unstable.
Near zero: indecision, range behavior, or frequent structure challenges.
Negative values: bearish dominance or sustained deterioration in structure.
The speed of score change matters too:
Fast expansion suggests a fresh regime gaining traction.
Slow grind suggests mature trend continuation.
Rapid compression often signals consolidation, exhaustion, or a transition phase.
Signals and regime transitions
This script uses two different styles of conditions (important detail):
Long condition: score > long threshold (state-based, persistent while true).
Short condition: crossunder(score, short threshold) (event-based trigger).
That means:
Long bias can remain active as long as score stays above the long threshold.
Short regime flips are triggered at the moment the score breaks down through the short threshold.
On the chart, long/short shapes are only plotted when the regime flips (first bar of the change), not on every bar, using:
Long shape when signal becomes 1 and previous signal was -1
Short shape when signal becomes -1 and previous signal was 1
This keeps signals clean and avoids spam, making it usable for alerts and regime tagging.
Visual presentation
The indicator is designed to work both as a panel oscillator and as an on-chart overlay:
Score plot (oscillator): color reflects active regime state.
Optional trail on price: volatility-scaled structure line on chart.
Optional threshold reference lines: clear regime boundaries.
Optional candle coloring: makes regime obvious without reading the panel.
Optional background shading: useful for quick scanning and backtesting visually.
You can use only the score, only the trail, or both together depending on your workflow.
Practical use cases
1) Trend filter for systems
Use the score as a regime gate:
Allow long entries only when score is above the long threshold.
Avoid longs when score compresses toward zero or loses the threshold.
Treat the short threshold break as “trend is no longer healthy.”
This often improves system expectancy by reducing exposure during low-conviction conditions.
2) Trend quality grading
Instead of treating all uptrends as equal:
Higher score = higher persistence, better continuation odds.
Score plateau = trend losing pressure, continuation becomes less reliable.
Score decay while price rises = trend is getting weaker under the hood.
This is useful for position sizing or deciding whether to add to winners.
3) Trade management and exits
Two complementary tools exist here:
Trail line can act as a dynamic stop reference or structure invalidation level.
Score behavior can be used to scale out when persistence fades (before a full flip).
Many traders use the trail for “hard structure” and the score for “soft deterioration.”
4) Breakout confirmation vs fakeouts
A breakout that immediately fails to build score is often low quality.
Healthy breakouts usually come with score expansion as structure advances.
Fakeouts often revert quickly, score fails to climb, and regime stays unstable.
Tuning guidelines
These are general behaviors you can expect when adjusting settings:
Higher ATR period and factor: slower regimes, fewer flips, cleaner structure.
Lower ATR period and factor: faster reaction, more sensitivity, more noise risk.
Longer loop range: score becomes more “confidence-based,” slower to change.
Shorter loop range: score becomes more “tactical,” faster but more jittery.
A good way to tune is to pick the trail behavior first (ATR period and factor), then tune the score window (loop) to match how quickly you want “trend conviction” to build.
Market behavior focus
Volatility Trend Score is most valuable in markets where volatility shifts frequently and fake trends are common, especially crypto. It is designed to:
Stay out of low-quality chop where most indicators whipsaw.
Quantify when volatility is being expressed directionally (constructive trend).
Provide a clean regime framework for filtering, alignment, and management.
Summary
Volatility Trend Score converts volatility-adjusted structure into a quantified measure of trend persistence. By combining an ATR-based trailing mechanism with a rolling comparison score, it provides a more reliable read on trend quality than single-condition indicators. It is best used as a regime filter, a trend strength gauge, and a trade management layer, helping you stay aligned with strong directional phases while avoiding low-conviction envir
MATATABI SP Ver.1Specifications & Features
This indicator is a comprehensive tool designed to monitor trend inception (Squeeze), key reversal zones (Smart SR), and market context (Range Analysis) on a single chart. It is updated for Pine Script v6.
1. 10 Moving Averages (MA)
Spec: Displays a total of 10 Moving Averages.
Defaults: All set to EMA (Exponential Moving Average) with periods 20, 25, 30, 35, 40, 45, 50, 55, 60, 65 (increments of 5).
Customization: Period, type (SMA, EMA, SMMA, WMA), color, and width for each line can be adjusted in the settings.
Visibility: MA01-MA08 are visible by default; MA09-MA10 are hidden by default.
2. MA Squeeze Detection Alert
Feature: Detects when all 10 MAs contract (cluster together) and flatten out, indicating potential energy buildup for a move.
Behavior: No background color change on the chart; it functions purely as an Alert condition configurable in TradingView.
Logic: Triggered when the spread between the highest and lowest MA is below a specific ATR threshold AND the slope of the longest MA is near zero.
3. Smart Support & Resistance (Smart SR)
Zone Display: Draws Support/Resistance as zones (bands) rather than thin lines. The width adapts automatically based on volatility (ATR).
Auto-Removal on Break: When price breaks through a zone, the line stops extending to the right automatically. This ensures only currently active/unbroken levels remain visible on the chart.
Significance Filter: Filters out minor noise, using a longer Pivot length (15) to identify only significant peaks and troughs. It also prevents drawing duplicate zones near existing ones.
Multi-Timeframe (MTF): Can display SR zones from a higher timeframe (e.g., 4H SR on a 15m chart) alongside current timeframe zones.
4. Range Analysis
Range Detection: Visualizes consolidation areas (boxes) based on price deviation and volume analysis.
Info Dashboard: Displays a table (top-right) showing the range strength and a statistical "Directional Probability (Bullish/Bearish %)" for the potential breakout.
Breakout Signals: Highlights the box border and triggers alerts when price breaks out of the detected range.
仕様と特徴
このインジケーターは、トレンドの初動（スクイーズ）、重要な反発ポイント（レジサポ）、**現在の相場環境（レンジ解析）**を1つのチャートで監視するための複合ツールです。Pine Script v6に対応しています。
1. 10本の移動平均線 (MA)
仕様: 合計10本の移動平均線を表示します。
初期設定: すべて**EMA（指数平滑移動平均線）**で、期間は 20, 25, 30, 35, 40, 45, 50, 55, 60, 65（5刻み）に設定されています。
カスタマイズ: 各ラインの期間、種類（SMA, EMA, SMMA, WMA）、色、太さは設定画面から変更可能です。
表示制御: MA01〜MA08はデフォルトで表示、MA09〜MA10は非表示設定です。
2. MA収縮（スクイーズ）検知アラート
特徴: 10本のMAが密集し、かつ傾きが平坦になった状態（エネルギーが溜まっている状態）を検知します。
動作: チャートの背景色は変更せず、アラート通知のみを行う仕様です（設定画面でアラート条件を作成可能）。
判定ロジック: 「MA全体の最大幅がATRの一定倍率以下」かつ「長期MAの傾きがほぼゼロ」の場合に検知します。
3. スマート・レジサポ (Smart Support & Resistance)
ゾーン表示: 単なる線ではなく、価格帯（ゾーン）として描画されます。幅はボラティリティ（ATR）に基づいて自動調整されます。
ブレイクで自動消去: 価格がゾーンを実体でブレイク（上抜け/下抜け）すると、そのラインは「役割を終えた」と判断され、右側への延長が自動的に停止します。これにより、チャート上には「現在有効なレジサポ」のみが残ります。
重要度フィルター: 小さな値動きを除外し、目立つ山や谷（Pivot期間15）のみを抽出して描画します。また、既存のラインと近い場合は重複して描画しません。
マルチタイムフレーム (MTF): 現在足のレジサポに加え、上位足（例: 15分足チャートに4時間足のレジサポ）を同時に表示可能です。
4. レンジ解析 (Range Analyzer)
レンジ検出: 価格の乱高下と出来高を分析し、レンジ相場をボックスで可視化します。
情報テーブル: チャート右上に、レンジの強度や、過去の統計に基づいた**「ブレイク方向の確率（強気/弱気 %）」**を表示します。
ブレイクアウト: レンジを抜けた際に、ボックスの色を変化させ、アラートを通知します。
MidZone Breakout Pro 🚀 MidZone Breakout Pro — Smart Balance Zone Signals
🧭 Equilibrium-Based Market Insight
MidZone Breakout Pro identifies key balance levels in the market and highlights directional opportunities when price decisively moves away from equilibrium.
📐 Dynamic Midpoint Zone Mapping
Automatically plots a central price balance zone derived from recent market ranges, helping traders visualize fair value and expansion areas.
🎯 Clear Buy & Sell Signals
Generates clean bullish and bearish signals when price exits the balance zone with momentum.
🎨 High-Visibility Zone Visualization
Color-coded zones, background shading, and bold signal markers provide instant clarity without chart clutter.
🎚 Customizable Sensitivity
Adjustable lookback period and zone width allow seamless adaptation across scalping, intraday, and swing trading.
🕰 Non-Repainting Signals
All signals are calculated using confirmed price action and remain stable on historical charts.
⚡ Lightweight & Fast Performance
Optimized design ensures smooth performance across all instruments and timeframes.
🛠 How to Use (Safe Version)
📉 **Buy Signal**: Appears when price moves strongly above the balance zone
📈 **Sell Signal**: Appears when price moves strongly below the balance zone
🟨 **Neutral Zone**: Indicates consolidation or equilibrium conditions
Best used in combination with trend direction, support/resistance, or volume confirmation.
⚠️ Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice. Always apply proper risk management.
The Cantillon Liquidity Trap [SFP] - PRORetail traders chase breakouts. Institutions engineer traps."
The Problem: How often do you see price break a key High/Low, trigger your stop loss, and then immediately reverse in the other direction? This is not bad luck. This is a Liquidity Grab (Swing Failure Pattern). Institutions need your stop orders to fill their large positions. Once they are filled, the market reverses.
How This Tool Helps: The Cantillon Liquidity Trap automatically detects these manipulation points in real-time. It does not just look for "wicks"—it uses a strict institutional algorithm to identify:
Major Pivot Points: (Where the stops are hiding).
The Sweep: (The stop run).
The Failure: (Price closing back inside the range).
Volume Confirmation: (Smart money absorption).
The Signals:
🟥 TRAP (Bearish): A Swing High was swept, but buyers failed to hold. Look for Shorts.
🟩 GRAB (Bullish): A Swing Low was swept, but sellers were absorbed. Look for Longs.
🚀 How to Trade This (The Strategy): This tool provides the "WHEN" (The Trigger). To get the highest win rate, you must combine it with the "WHERE" (The Level).
Optimum Setup: Wait for a "TRAP" signal that aligns perfectly with a Volume Shelf or AVWAP. When "Time" (SFP) meets "Location" (Cantillon Level), you have an A+ Institutional Setup.
This is optimized for 4H, but feel free to play with it.
👇 Works best together with my "the cantillon overlay" signature below.
HMA Trend Scalper V1[wjdtks255]
Overview
This indicator is a high-performance trend-following system optimized for crypto futures trading. It provides clear entry signals and dynamic, real-time risk management tools to help traders stay on the right side of the market.
Key Features
Dynamic Trend Tracking: Uses a specialized HMA (Hull Moving Average) to filter market noise and identify the core trend.
Real-time TP/SL Extension: Unlike static indicators, the Take Profit (TP) and Stop Loss (SL) lines extend candle-by-candle along with the price action.
Clean Chart UI: Lines only exist from the entry point to the current candle, preventing chart clutter.
Automatic Completion: Once the price hits a target, the line stops extending and marks the result (Target Hit or Stop Out).
Trading Strategy (How to Trade)
1. Long Entry (🚀 LONG)
Condition: The price must be above the trend line, and a breakout of the recent 5-candle high must occur with significant volume.
Action: Enter a Long position when the "🚀 LONG" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
2. Short Entry (💀 SHORT)
Condition: The price must be below the trend line, and a breakdown of the recent 5-candle low must occur with significant volume.
Action: Enter a Short position when the "💀 SHORT" label appears.
Exit: Hold until the price reaches the Cyan (Aqua) TP line or hits the Yellow SL line.
3. Risk Management
Stop Loss: The indicator automatically calculates the optimal SL based on recent volatility (ATR) and swing points.
Take Profit: The TP is set at a calculated ratio to ensure a positive risk-to-reward setup.
Settings
Trend Sensitivity: Adjust the HMA length to match your preferred timeframe (Scalping vs. Swing).
Volume Multiplier: Filter out weak moves by increasing the volume breakout requirement.
Custom Styles: Fully customize line colors, widths, and styles (Solid, Dashed, Dotted) in the settings menu.
Zero-Lag ATR Trend [BackQuant]Zero-Lag ATR Trend
Overview
Zero-Lag ATR Trend is a volatility-adaptive trend-following overlay designed to identify directional market regimes with minimal delay while preserving structural clarity. The indicator combines a zero-lag moving average framework with a zero-lag volatility model to produce a trailing trend line that reacts quickly to meaningful price changes without becoming unstable or overly sensitive.
Unlike conventional ATR-based trend tools that rely on lagging averages and delayed volatility estimates, this indicator applies zero-lag logic to both the trend centerline and the volatility calculation. The result is a trend structure that aligns more closely with real-time price action while still maintaining the discipline required for trend continuation trading.
Core design philosophy
The core idea behind Zero-Lag ATR Trend is simple:
Reduce signal delay without sacrificing trend integrity.
Adapt dynamically to changing volatility regimes.
Provide a single, clean structure that defines trend direction, continuation, and invalidation.
Instead of stacking multiple indicators, the script builds a complete trend framework from two tightly integrated components: a zero-lag trend spine and a zero-lag ATR trailing mechanism.
Zero-lag trend spine
The trend spine is constructed using a zero-lag moving average (ZLMA). This is achieved by applying a corrective step to a traditional moving average, effectively compensating for smoothing delay.
Conceptually, the process works as follows:
A base moving average is calculated from the selected price source.
That moving average is then passed through a zero-lag correction.
The correction pulls the line closer to current price without introducing noise.
This produces a trend line that reacts faster than standard EMA, SMA, or HMA signals, particularly during early trend acceleration phases. Multiple moving-average types can be used inside the zero-lag framework, allowing traders to fine-tune responsiveness based on asset behavior and timeframe.
Zero-lag volatility model
Volatility is measured using True Range, but instead of applying classic ATR smoothing, the indicator uses a zero-lag smoothing pass on the True Range itself.
This approach offers several advantages:
Volatility expands more quickly during impulse moves.
Volatility contracts faster during consolidations.
Band width adjusts in near real-time to changing conditions.
The smoothed zero-lag ATR is multiplied by a user-defined factor to create adaptive upper and lower boundaries around the trend spine. These boundaries define how much counter-movement price is allowed before the trend structure is invalidated.
Volatility-aware trailing structure
The trailing output is the defining feature of the indicator. It behaves as a one-directional trailing structure:
In bullish conditions, the trailing line can only move upward.
In bearish conditions, the trailing line can only move downward.
Minor pullbacks inside the volatility envelope do not flip the trend.
This logic prevents the indicator from reacting to shallow retracements and focuses instead on structural trend changes. Because the trailing behavior is volatility-scaled, the indicator remains stable during high volatility while still responding promptly during regime shifts.
Trend flips and regime transitions
Trend direction is determined by changes in the trailing structure itself rather than raw price crosses. A trend flip occurs only when price movement is strong enough, relative to current volatility, to force the trailing line to reverse direction.
This means:
Bullish flips represent genuine transitions into upward regimes.
Bearish flips represent genuine transitions into downward regimes.
Sideways noise is largely filtered out.
As a result, the indicator is well suited for identifying medium-to-long trend phases rather than short-term oscillations.
Visual structure and chart clarity
The visual design is intentionally minimal and functional:
The main trailing line is color-coded by trend direction.
An optional ribbon or cloud reinforces directional bias.
Optional candle coloring aligns price bars with the active trend.
These elements allow traders to assess trend state instantly without interpreting multiple signals or overlays.
How to use for trend following
Trend bias
Maintain a bullish bias while price holds above the trailing line.
Maintain a bearish bias while price holds below the trailing line.
Entries
Trend flips can be used as initial directional entries.
Pullbacks toward the trailing line often act as continuation opportunities.
Momentum confirmation can be layered on top for additional confluence.
Trend management
The trailing line naturally functions as a dynamic stop reference.
As long as price respects the trailing structure, the trend remains valid.
A flip in direction signals a full regime transition rather than a minor correction.
Why zero-lag matters for trend trading
Traditional trend indicators often react late, especially during fast expansions, resulting in delayed entries and early exits. By reducing lag in both the trend calculation and the volatility model, Zero-Lag ATR Trend aims to capture a larger portion of directional moves while maintaining consistency and discipline.
This makes it particularly effective for momentum-based trend following, breakout continuation strategies, and traders who prioritize staying aligned with dominant market structure rather than predicting reversals.
Summary
Zero-Lag ATR Trend is a complete trend-following framework built around responsiveness, adaptability, and clarity. Its zero-lag architecture allows it to respond earlier to meaningful price changes, while its volatility-aware trailing logic ensures that trends are only invalidated when structure truly breaks. The result is a clean, intuitive tool that supports disciplined trend participation across assets and timeframes.
RSI Divergence Pro Price Overlay High-Prob v6RSI Divergence Pro — Comprehensive Usage Guide
1) What This Indicator Does (in plain English)
Goal: Detect high-probability reversal (and optionally continuation) points using RSI divergences, then draw clean visual lines on price (red/bearish, green/bullish) and attach a % Strength label to help you quickly decide if it’s worth trading.
Core logic:
• Finds confirmed peaks and valleys using ta.pivothigh and ta.pivotlow.
• Bearish: Price makes Higher High while RSI makes Lower High.
• Bullish: Price makes Lower Low while RSI makes Higher Low.
• Filters for high probability: RSI near OB/OS, min RSI diff, ATR scaling, pivot spacing.
• Draws lines on price chart and attaches % Strength label.
• Alerts trigger only when a new divergence line is drawn.
2) Inputs & What Each One Means
• RSI Period: Shorter = more reactive; longer = smoother.
• Pivot Left/Right: Controls peak/valley confirmation.
• RSI Overbought/Oversold: Default 60/40; tighten for lower TFs.
• Min RSI Divergence: Minimum difference between RSI pivots.
• ATR Length & Min Price Move vs ATR: Ensures structural change.
• Bars Between Pivots: Avoid micro noise and stale signals.
• Hidden Divergence toggle: OFF for reversal; ON for continuation.
3) The % Strength Label — What It Represents
Combines RSI divergence magnitude (60%), Price move vs ATR (30%), OB/OS proximity (10%).
Interpretation:
• 80–100%: A-grade signals.
• 60–79%: Good, tradable with confirmation.
• 40–59%: Caution.
• <40%: Usually skip.
4) High-Probability Trading Workflow (H1)
1. Step 1: Scan & identify the signal.
2. Step 2: Confirm with price action (structure break or engulfing).
3. Step 3: Entry (conservative or aggressive).
4. Step 4: Stop placement (pivot ±0.5×ATR).
5. Step 5: Take profit & management (TP1 1×ATR, TP2 2×ATR, trail).
5) Confluence & Filters
• EMA slope confirmation.
• Structure alignment with S/R zones.
• Volatility regime check.
6) Example Scenarios
• A) Bearish Classic Divergence: HH price + LH RSI, Strength 83%.
• B) Bullish Classic Divergence: LL price + HL RSI, Strength 68%.
• C) Hidden Bullish Divergence: HL price + LL RSI, Strength 75%.
7) Common Pitfalls & How to Avoid Them
• Forcing signals in dead volatility.
• Taking divergences in strong trends without confirmation.
• Ignoring pivot spacing.
8) Tuning for Your Style
• H1 defaults: RSI 10, pivots 5/5, thresholds 60/40.
• M15/M5: thresholds 65/35, min RSI diff 10–12.
• H4/D1: thresholds 58/42, ATR multiple 0.4–0.6.
9) Multi-Asset Notes
• FX majors: overlap session ideal.
• Indices: require engulfing confirmation.
• Crypto: use ATR multiple ≥0.7.
10) Alerts — How to Use Them
• Set alerts Once per bar close.
• Alert names: Bearish RSI Divergence, Bullish RSI Divergence.
11) Backtesting & Forward Testing
• Define rules: entry, stop, TP.
• Track Strength % bins.
12) Troubleshooting & Diagnostics
• No lines? Loosen thresholds.
• Too many lines? Tighten thresholds.
13) Quick Operator’s Checklist
• Signal present?
• Location near S/R?
• Confirmation present?
14) Future Upgrade Options
• Session filter (London–NY overlap).
• EMA slope confirmation.
• Structure-break confirmation.
• Alert text enhancements.
