ATR Table (Top Right) - Multi Rangejust your friendly atr table to multiple ranges and for the sense of what is brewing
Volatilité
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ 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.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ 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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ 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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ 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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ 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
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
█ 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
EMA 8 48 System v1Short Description:
A trend-following indicator using EMA crossovers, ATR-based volatility filter, and a cooldown period to reduce false signals. Designed for clear buy/sell signals in trending markets.
Full Description:
What is this indicator?
This script implements a dual EMA crossover system (8-period and 48-period EMAs) with a trend filter (EMA200), ATR-based volatility filter, and a cooldown period to avoid overtrading.
It visually plots EMAs, buy/sell signals, and ATR-based stop loss/target levels.
Why is it useful?
Helps traders identify high-probability trend entries and avoid choppy, low-volatility conditions.
Reduces false signals by requiring trend confirmation, sufficient volatility, and spacing out trades.
Suitable for intraday and swing trading on most liquid assets.
When to use:
Best used in markets showing clear trends (not sideways).
Works on most timeframes, but higher timeframes (15m, 1h, 4h, daily) tend to give more reliable signals.
How to spot buy and sell:
Buy: Green “BUY” label appears when EMA8 crosses above EMA48, price is above EMA200, and ATR is above the minimum threshold.
Sell: Red “SELL” label appears when EMA8 crosses below EMA48, price is below EMA200, and ATR is above the minimum threshold.
ATR-based stop loss and target levels are plotted for each signal.
Additional tips:
Adjust the minimum ATR and cooldown settings to match your asset’s volatility and your trading style.
Use in conjunction with price action or higher timeframe analysis for best results.
Avoid trading during low volatility or sideways markets, as signals may be less reliable.
Always backtest and forward-test before using live.
How to add signals and update settings:
Use the script’s input panel to adjust EMA lengths, ATR settings, minimum ATR, and cooldown period.
To add alerts, use TradingView’s “Add Alert” feature and select the buy or sell conditions from the script’s alert options.
For further customization, you can edit the script to add additional filters or notification logic.
This indicator is for educational purposes only. Always use proper risk management and do your own research before trading.
Disclaimer:
This script is for informational and educational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument.
Trading involves risk. Past performance is not indicative of future results. Always do your own research and use proper risk management.
The author is not responsible for any losses incurred from the use of this script. By using this script, you agree to take full responsibility for your trading decisions.
EMA Trend Reversal (Regime Change)EMA Trend Reversal (Regime Change)
This indicator highlights EMA slope reversals that often coincide with trend or regime shifts, using a simple two-stage visual system.
It is especially effective on higher timeframes (Daily / Weekly) for swing trading and trend-bias awareness.
Detailed User Guide
What the signals mean
Confirmed signals (dots)
Green dot below price
- EMA slope has confirmed upward (bullish regime shift)
Red dot above price
- EMA slope has confirmed downward (bearish regime shift)
Confirmed dots only appear after the candle closes.
Unconfirmed signals (triangles)
Yellow triangle below price
- EMA is turning up intrabar (not yet confirmed)
Yellow triangle above price
- EMA is turning down intrabar (not yet confirmed)
Unconfirmed signals may repeat at a set interval until confirmation.
Alerts
This script provides two alerts:
EMA Reversal UP
EMA Reversal DOWN
Each alert can fire on:
Initial unconfirmed reversal
Reminder interval while unconfirmed
Final confirmed reversal
Alerts will NOT fire unless this indicator is active on at least one chart.
It may be kept on a chart you do not actively trade.
Settings
EMA Length (default: 21)
Reminder interval (minutes)
Show / hide unconfirmed triangles
Show / hide confirmed dots
Dot transparency
Colors (locked to preserve signal meaning)
Best use cases
Identifying trend or regime changes
Weekly swing trade entries and exits
Holding-period guidance during trends
Alert-based monitoring without watching charts
This is not a scalp or oscillator signal.
It works best when combined with structure, support/resistance, or higher-timeframe context.
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial, investment, or trading advice.
All trading involves risk. Use at your own discretion.
Institutional Confluence Mapper [JOAT]Institutional Confluence Mapper (ICM)
Introduction
The Institutional Confluence Mapper is an open-source multi-factor analysis tool that combines five analytical modules into a unified confluence scoring system. It synthesizes institutional trading concepts including Relative Rotation analysis, Smart Money flow detection, Liquidity zone mapping, Session-based timing, and Volatility regime classification.
Rather than relying on a single indicator, ICM evaluates market conditions through multiple lenses simultaneously, presenting a clear confluence score (0-100%) that reflects the alignment of various market factors.
This script is fully open-source under the Mozilla Public License 2.0.
Originality and Purpose
This indicator is NOT a random mashup of existing indicators. It is an original implementation that creates a unified institutional analysis framework:
Why Multiple Modules? Most retail traders struggle because they rely on single indicators that provide conflicting signals. Institutional traders evaluate markets through multiple frameworks simultaneously. ICM bridges this gap by providing a unified view of complementary analysis methods.
The Confluence Scoring System: Each module contributes to a weighted confluence score (0-100%). Scores above 65% indicate bullish confluence; below 35% indicates bearish confluence.
How Components Work Together:
RRG (Relative Rotation) determines macro bias - is this asset outperforming or underperforming its benchmark?
Institutional Flow confirms smart money activity - are institutions accumulating or distributing?
Volatility Regime determines strategy selection - trend-follow or mean-revert?
Liquidity Detection identifies key levels - where are the stop hunts happening?
Session Analysis optimizes timing - when should you trade?
The Five Core Modules
1. Relative Rotation Momentum Matrix (RRG)
Compares the current symbol against a benchmark (default: SPY) using the JdK RS-Ratio methodology with double-smoothed EMA. Assets rotate through four quadrants:
LEADING: Outperforming with positive momentum (strongest bullish)
WEAKENING: Outperforming but losing momentum
LAGGING: Underperforming with negative momentum (strongest bearish)
IMPROVING: Underperforming but gaining momentum
2. Institutional Flow Analysis
Analyzes volume patterns to detect smart money activity:
Volume Z-Score measures how unusual current volume is
Buy/Sell pressure estimation based on candle structure
Unusual volume detection highlights institutional activity
3. Volatility Regime System
Uses ATR percentile ranking to classify market conditions:
COMPRESSION: Low volatility (ATR < 20th percentile) - potential breakout
EXPANSION: High volatility (ATR > 80th percentile) - trending
TRENDING_BULL/BEAR: Directional trends based on EMA alignment
RANGING: Sideways consolidation
4. Liquidity Detection
Identifies institutional liquidity targets using swing point analysis:
Swing highs/lows are tracked and displayed as dashed lines
Purple dashed lines mark resistance/sell-side liquidity
Teal dashed lines mark support/buy-side liquidity
Gold diamonds appear when liquidity sweeps are detected (potential reversals)
5. Session Momentum Profiler
Tracks trading sessions based on your selected timezone:
Asian Session: 7PM - 4AM EST
London Session: 3AM - 12PM EST
New York Session: 9:30AM - 4PM EST
London/NY Overlap: 8AM - 12PM EST (peak liquidity)
Visual Elements
Main Dashboard (Top-Right):
BIAS: Overall direction with confluence percentage
RRG: Current quadrant and momentum
FLOW: Smart money bias and volume status
REGIME: Market condition and volatility percentile
SESSION: Active trading session and current time
LIQUIDITY: Active zones and grab signals
SIGNAL: Actionable recommendation
Chart Elements:
Gold Diamond: Liquidity grab (potential reversal point)
Teal Dashed Line: Support / Buy-side liquidity zone
Purple Dashed Line: Resistance / Sell-side liquidity zone
EMA 21/55/200: Trend structure with cloud fill
Volatility Bands: ATR-based channels
How to Use
Step 1: Check the BIAS row for overall market direction
Step 2: Check REGIME to understand market conditions
Step 3: Identify key levels using liquidity zones and EMAs
Step 4: Wait for confluence above 65% (bullish) or below 35% (bearish)
Step 5: Look for gold diamond signals at key levels
Best Setups
Bullish: Confluence >65%, RRG in LEADING/IMPROVING, bullish flow, price near teal support zone.
Bearish: Confluence <35%, RRG in LAGGING/WEAKENING, bearish flow, price near purple resistance zone.
Reversal: Gold diamond appears after price sweeps a liquidity zone.
Key Input Parameters
Benchmark Symbol: Compare against (default: SPY)
RS-Ratio/Momentum Lookback: RRG calculation periods
Volume Analysis Period: Flow detection lookback
Swing Length: Liquidity zone detection
ATR Period/Rank Period: Regime classification
Timezone: Session detection timezone
Alerts
Liquidity Grab Bull: Bullish sweep detected
Liquidity Grab Bear: Bearish sweep detected
High Confluence Bull: Confluence above 70%
High Confluence Bear: Confluence below 30%
Best Practices
Use on 1H, 4H, or Daily timeframes for reliable signals
Combine with price action for confirmation
Respect the regime - don't fight strong trends
Trade during London/NY overlap for best liquidity
Wait for high confluence scores before entering
Always use proper risk management
Limitations
Works best on liquid markets with sufficient volume
Session features optimized for forex/crypto markets
RRG requires a valid benchmark symbol
No indicator predicts the future - use proper risk management
Disclaimer
This indicator is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results.
-Made with passion by officialjackofalltrades
Professional Grid & Reversal Bot v10 (Binance Style)Professional Grid & Reversal Bot v10 (Binance Style) – Open Source & Educational
About this Script:
This script is an advanced Grid Trading & Smart Reversal strategy, inspired by professional Binance-style execution. It is designed as an educational, open-source tool for traders who want to understand market dynamics, grid logic, and risk management.
How it Works:
1️⃣ Grid Execution:
• Divides the price range between the high and low into multiple levels (Grids).
• Opens Buy orders in the lower half and Sell orders in the upper half.
• Levels are calculated dynamically based on the highest and lowest prices over a selected lookback period.
2️⃣ Smart Reversal System:
• Detects price touches on the high or low range boundaries to identify potential reversal points.
• Opens Buy orders at the lows and Sell orders at the highs using a configurable confirmation percentage (revPct).
• Helps traders capture short-term price swings effectively.
3️⃣ Risk & Size Management:
• Position sizing based on USD amount and leverage.
• Automatic Take Profit (TP) and Stop Loss (SL) for every trade.
• Controls overtrading via the "pyramiding" parameter (max open trades).
4️⃣ Advanced Visualization:
• Plots the grid range with high/low levels and fills the background for clear context.
• Highlights potential Supply and Demand Zones.
• Displays a dynamic "Binance-style" Order Book table showing Side, Price, Quantity, and PnL.
5️⃣ Key Counters & Indicators:
• levelsArr → Stores all grid levels for execution and plotting.
• touchedHigh / touchedLow → Monitors range touches to trigger reversals.
• strategy.openprofit → Displays live open trade PnL directly on the chart.
Additional Features:
• Supports both English and Arabic languages.
• Dark Theme optimized for readability.
• Dynamic control panel updates on every bar.
• Flexible settings for Auto or Manual grid range updates.
User Guidance:
• This script is for educational purposes only; it does not guarantee profits.
• We recommend adjusting Grid Levels, Reversal Percentage, and Trade Size to experiment with different strategies.
Community Engagement:
• Suggestions and improvements are welcome! 💡
• If you have ideas for new features, let's develop them together to enhance learning.
• Please support the script with a Like & Boost if you find it useful.
• Encourages knowledge sharing to improve collective performance.
License:
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Free for educational use only. Please give credit to the author when sharing or modifying the script.
ATR Units + % (Watermark)A clean and simple indicator for displaying ATR (Average True Range) volatility directly on the chart, without any lines, panels, or visual clutter.
The indicator shows:
ATR in price units (how much the asset moves in absolute terms)
ATR as a percentage (%) of the current price
The values are displayed as a text watermark on the chart, allowing you to quickly see the volatility level at a glance without interfering with price analysis.
Customization Options:
Set ATR length
Choose text size
Choose text color
Control transparency (for a true watermark look)
Choose full chart position:
Vertical: Top / Middle / Bottom
Horizontal: Left / Center / Right
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial advice, investment advice, or a recommendation to buy or sell any financial instrument.
The ATR values shown (both units and percentage) reflect historical price volatility only and do not predict future market behavior.
All trading decisions are the sole responsibility of the user.
Trading involves risk. Always use proper risk management, and consult a licensed financial professional if needed before making trading decisions.
EMA Spread Exhaustion DetectorEMA Spread Exhaustion – Reversal Scalper's Tool
Identifies trend exhaustion for high-probability counter-trend entries. Triggers when EMA(4/9/20) stack is fully aligned and spread stretches beyond ±ATR threshold. Ideal confluence for TDI hooks + strong rejection candles on 15s charts. Visual markers, fills, and alerts for quick scalps.
Strategy H4-H1-M15 Triple Screen + TableMaster of Multi-Timeframe Trading: "Triple Screen" Strategy
"▲▼ & BUY/SELL M15 Tags" — H1 Ready signals warn the trader in advance that a reversal is brewing on the medium timeframe.
Settings:
Stochastic Settings: Oscillator length and smoothing adjustment.
Overbought/Oversold: Overbought/oversold level settings (default 80/20).
SL Offset: Buffer in ticks/pips for setting stop-loss beyond extremes.
Usage Instructions:
Long: Background painted light green (H4 Trend UP + H1 Stoch Low), wait for green "BUY M15" tag.
Short: Background painted light red (H4 Trend DOWN + H1 Stoch High), wait for red "SELL M15" tag.
Entry → SL → TP = PROFIT
Short Description (for preview):
Comprehensive "Triple Screen" strategy based on MACD (H4) and Stochastic (H1, M15). Features trend monitoring panel and precise entry signals with automatic Stop Loss calculation.
Technical Notes (for developers):
Hardcoded Timeframes: "240" (H4) and "60" (H1) are hardcoded. For universal use on other timeframe combinations (D1-H4-H1), make these input.timeframe variables.
Repainting: request.security may cause repainting on historical bars (current bar is honest). Standard practice for multi-timeframe TradingView indicators.
Alerts: Built-in alert support for one-click trading convenience.
Pro Minimalist ATR (Black)The script I provided is a tool that automatically calculates and displays volatility "zones" around the average price. Here is the plain English explanation of what it is doing and why:
1. The Anchor: 20 DMA (The "Fair Value")
The script starts by calculating the 20-Day Moving Average (20 DMA).
What it represents: Think of this as the "fair price" or the "center of gravity" for the market over the last month.
In the script: It looks at the closing price of the last 20 candles, adds them up, and divides by 20. This is your baseline.
2. The Ruler: ATR (The "Volatility")
Next, it measures the Average True Range (ATR) over the last 14 days.
What it represents: This measures the "energy" or "noise" of the market. If candles are huge, the ATR is high. If candles are tiny, the ATR is low.
Why we use it: Using a fixed number (like $50) doesn't work because stocks move differently. ATR adapts to the current market mood.
3. The Zones: +1, +2, -1, -2
The script then takes that "center" (20 DMA) and adds/subtracts the "ruler" (ATR) to create four distinct levels:
+1 ATR: This is the "Upper Normal" limit. Price hanging here is bullish but normal.
+2 ATR: This is the "Extreme" limit. Statistically, price rarely stays above this line for long without snapping back. This is often an overbought signal.
-1 ATR: This is the "Lower Normal" limit.
-2 ATR: This is the "Extreme" discount. If price hits this, it is statistically stretched far below its average.
4. The Visuals: "Clean" Labeling
Finally, the script focuses on presentation:
No Lines: It specifically avoids drawing lines all over your history to keep your chart clean.
Dynamic Labels: It creates text labels only on the very last bar (the current moment). It constantly deletes the old label and draws a new one as the price moves, so it looks like the text is "floating" next to the current price.
Axis Marking: It forces marks onto the right-hand price scale (display=display.price_scale) so you can see the exact price levels (e.g., 154.20) without having to guess.
S&P 500 Momentum Coiling Tracker [20/200 MA]This indicator measures the absolute point distance between the 20-period SMA and the 200-period SMA, specifically optimized for the S&P 500 (ES/MES) index.
In the style of institutional trend following, it identifies the "Narrow State"—a period of low volatility where a major breakout is imminent.
How to read the Histogram:
🟢 GREEN (< 8 pts): Ultra-Narrow/Coiled State. Stored energy is high. Watch for an explosive breakout.
🟡 YELLOW (8-15 pts): Narrow/Transition. The averages are converging or just starting to fan out.
⚪ GRAY (15-30 pts): Neutral trending zone.
🔴 RED (> 30 pts): Extended State. Price is stretched far from the long-term mean; avoid chasing the move.
Bollinger Aurora Velocity [Pineify]Pineify - Bollinger Aurora Velocity
The Bollinger Aurora Velocity is an enhanced volatility and trend analysis indicator that transforms the classic Bollinger Bands into a visually stunning, multi-dimensional trading tool. By combining standard deviation bands with historical extreme tracking and dynamic momentum coloring, this indicator provides traders with deeper insights into volatility cycles, squeeze conditions, and trend strength all in one overlay.
Key Features
Classic Bollinger Bands with customizable period and standard deviation multiplier
Nebula Memory Cloud tracking historical band extremes for volatility context
Volatility Squeeze Detection with visual dot indicators on the basis line
Gradient-based candle coloring reflecting normalized price position
Multi-layer aurora gradient fills for intuitive visual analysis
How It Works
The indicator begins with a standard Bollinger Bands calculation using a simple moving average as the basis line, with upper and lower bands placed at a user-defined multiple of standard deviation. This core structure measures price volatility and identifies overbought/oversold conditions.
The Nebula Memory Cloud extends beyond traditional bands by tracking the highest point of the upper band and lowest point of the lower band over a configurable lookback period. This creates an outer envelope showing the maximum volatility expansion in recent history.
Trading Ideas and Insights
The Volatility Squeeze is a powerful concept where contracting Bollinger Bands often precede significant price breakouts. This indicator detects squeezes by comparing the current band width to its 100-period simple moving average. When the current range falls below this average, yellow dots appear on the basis line, alerting traders to potential explosive moves ahead.
When squeeze dots appear and the outer nebula cloud shows significant distance from the current bands, it suggests volatility is at a historical low relative to recent extremes—a setup often followed by strong directional moves.
How Multiple Indicators Work Together
Bollinger Bands establish the primary volatility envelope and mean-reversion zones
The Nebula Cloud provides historical context, showing how current volatility compares to recent extremes
Squeeze Detection identifies compression phases using relative bandwidth analysis
Normalized Scoring translates price position into a 0-100 scale for gradient coloring
Unique Aspects
Unlike standard Bollinger Bands indicators, the Aurora Velocity creates a heat-map effect on price bars. The normalized score calculates where price sits within the bands as a percentage, then applies a smooth gradient from bearish to bullish colors. This allows traders to instantly perceive momentum strength—saturated bullish colors near the upper band indicate strong upward pressure, while saturated bearish colors near the lower band signal selling dominance.
The aurora-style gradient fills between band layers create visual depth, making it easy to distinguish the core volatility zone from the historical extreme boundaries.
How to Use
Monitor candle colors for momentum direction—bright green indicates bullish positioning, bright red signals bearish pressure
Watch for yellow squeeze dots on the basis line as early warning for potential breakouts
Use the outer nebula cloud to assess if current volatility is testing historical extremes
Set alerts for price breakouts above the upper band or below the lower band
Combine squeeze conditions with the nebula cloud width to gauge breakout potential
Customization
Base Period - Controls Bollinger Bands calculation length (default: 20)
Standard Deviation Multiplier - Adjusts band width from the basis (default: 2.0)
Price Source - Select the price input for calculations (default: close)
Nebula Memory Length - Lookback period for tracking historical extremes (default: 50)
Color Settings - Customize bullish and bearish gradient colors
Conclusion
The Bollinger Aurora Velocity elevates traditional Bollinger Bands analysis by adding historical volatility context through the Nebula Cloud, precise squeeze detection for breakout anticipation, and intuitive momentum visualization through gradient candle coloring. This combination helps traders identify not just where price is relative to volatility bands, but how that volatility compares to recent history and when compression may lead to expansion.
Lakshmi - Low Volatility Range Breakout (LVRB)⚡️ Overview
The Low Volatility Range Breakout (LVRB) indicator is designed to identify consolidation phases characterized by suppressed volatility and generate actionable signals when price breaks out of these ranges. The underlying premise is rooted in the market principle that periods of low volatility often precede significant directional moves—volatility contraction leads to expansion.
Important Note on Optimization: The default parameter settings of this indicator have been specifically optimized for BTCUSDT on the 2-hour (2H) timeframe. While the indicator can be applied to other instruments and timeframes, users are encouraged to adjust the parameters accordingly to suit different trading conditions and asset characteristics.
This indicator automates the detection of "quiet" accumulation/distribution zones and provides clear visual cues and alerts when a breakout occurs.
⚡️ How to Use
1. Add the indicator to your chart. Default settings are optimized for BTCUSDT 2H.
2. Wait for a gray box to appear—this indicates a qualified low-volatility range is forming.
3. Monitor for breakout signals:
• LONG (green triangle below bar): Price broke above the range. Consider entering a long position.
• SHORT (red triangle above bar): Price broke below the range. Consider entering a short position.
4. Set alerts using "LVRB LONG" or "LVRB SHORT" to receive notifications on confirmed breakouts.
5. Adjust parameters as needed for different instruments or timeframes.
Tip: Combine with volume analysis or trend filters for higher-probability setups.
⚡️ How It Works
1. Low Volatility Bar Detection
A bar is classified as "low volatility" when it meets the following criteria:
• True Range (TR) is at or below the average TR (Simple Moving Average) multiplied by a user-defined threshold.
• (Optional) Candle Body is at or below the average body size multiplied by a separate threshold.
This dual-filter approach helps isolate bars that exhibit genuine compression in both range and directional commitment.
2. Range Box Formation
When consecutive low-volatility bars are detected, the indicator begins constructing a consolidation box:
• The box expands to encompass the high and low of qualifying bars.
• A minimum number of bars and a minimum fraction of low-volatility bars are required for the box to become "qualified" (active).
• A configurable tolerance allows for a limited number of consecutive non-low-vol bars within the sequence, accommodating minor noise without invalidating the range.
• If the box height exceeds a maximum threshold (defined as a multiple of the base ATR at sequence start), the range is invalidated.
3. Breakout Detection
Once a qualified range is established, the indicator monitors for breakouts:
• Wick Mode: Requires both a wick pierce beyond the range boundary AND a close outside the range.
• Close Mode: Requires only a close beyond the range boundary.
• (Optional) Breakout Body Filter: The breakout candle's body must exceed a multiple of the average body size at range formation.
• (Optional) Candle Direction Filter: Bullish breakouts require a green candle; bearish breakouts require a red candle.
Signals are displayed in real-time and confirmed upon bar close.
⚡️ Inputs & Parameters
• Volatility Window: Lookback period for calculating average TR and average body size.
• TR Multiplier: A bar's TR must be ≤ avgTR × this value to qualify as low-vol.
• Body Multiplier: A bar's body must be ≤ avgBody × this value (if body filter is enabled).
• Use Body Filter: Toggle the body size filter on/off.
• Min Bars in Box: Minimum number of bars required for a range to become qualified.
• Min Low-Vol Fraction: Minimum proportion of bars in the sequence that must be low-vol.
• Allowed Consecutive Non-Low-Vol Bars: Tolerance for consecutive bars that do not meet low-vol criteria.
• Max Box Height: Maximum allowed range height as a multiple of the base ATR.
• Breakout Mode: Choose between "Wick" (pierce + close) or "Close" (close only).
• Breakout Body Multiplier: Require breakout candle body ≥ avgBody × this value (1.0 = OFF).
• Require Candle Direction: Enforce green candle for LONG, red candle for SHORT.
⚡️ Visual Features
• Consolidation Boxes: Displayed in neutral (gray) color during formation. Upon a confirmed breakout, the box is colored green for bullish breakouts or red for bearish breakouts.
• Breakout Signals:
• LONG: Green upward triangle displayed below the price bar with "LONG" label.
• SHORT: Red downward triangle displayed above the price bar with "SHORT" label.
• Range Levels: Optional horizontal plots for the active range's high and low.
• Invalidated Boxes: Optionally retained in neutral (gray) color or deleted from the chart.
• Full Customization: Colors, transparency, and border width are all adjustable.
⚡️ Alerts
Two alert conditions are available:
• LVRB LONG: Triggered on a confirmed bullish breakout (bar close).
• LVRB SHORT: Triggered on a confirmed bearish breakout (bar close).
⚡️ Use Cases
• Breakout Trading: Enter positions when price escapes a well-defined low-volatility range.
• Volatility Expansion Plays: Anticipate increased volatility following periods of compression.
• Filtering Choppy Markets: Avoid trading during extended consolidation; wait for confirmed breakouts.
• Multi-Timeframe Analysis: Use on higher timeframes to identify major consolidation zones.
⚡️ Notes
• Best used in conjunction with volume analysis, trend context, or support/resistance levels for confirmation.
• Performance varies across instruments and timeframes; backtesting and parameter optimization are recommended.
⚡️ Credits
Developed by Lakshmi. Inspired by volatility contraction principles and range breakout methodologies.
⚡️ Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profits. Trading financial instruments involves substantial risk, and you may lose more than your initial investment. Past performance, whether indicated by backtesting or historical analysis, does not guarantee future results. The use of this indicator does not ensure or promise any profits or protection against losses. Users are solely responsible for their own trading decisions and should conduct their own research and/or consult with a qualified financial advisor before making any investment decisions. By using this indicator, you acknowledge and accept that you bear full responsibility for any trading outcomes.
Simple RSI Strategy - Rule Based Higher Timeframe Trading
HOW IT WORKS
With the default settings, the strategy buys when RSI reaches 30 and closes when RSI reaches 40 .
That’s it.
A simple, rule-based mean reversion strategy designed for higher timeframes , where market noise is lower and trading becomes easier to manage.
Core logic:
Long when RSI moves into oversold territory
Exit when RSI mean-reverts upward
Optional short trades from overbought levels
One position at a time (no pyramiding)
No filters.
No discretion.
Just clear, testable rules.
MARKETS & TIMEFRAMES
This strategy is intended for:
Indices (Nasdaq, S&P 500, DAX, etc.)
Liquid futures and CFDs
Higher timeframes: 2H, 4H and Daily
The published example is Nasdaq (NDX) on the 2-hour timeframe .
Higher timeframes are strongly recommended.
HOW TO USE IT
Apply the strategy on a higher timeframe
Adjust RSI levels per market if needed
Use TradingView alerts to avoid constant screen-watching
Focus on execution, risk control, and consistency
This strategy is meant to be a building block , not a complete trading business on its own.
For long-term consistency, it works best when combined with other uncorrelated, rule-based systems.
IMPORTANT
This is not financial advice
All results are historical and not indicative of future performance
Always forward-test and apply proper risk management
For additional notes, setups and related systems, visit my TradingView profile page .
Asset Volatility Heatmap [SeerQuant]Asset Volatility Heatmap (AVH)
AVH is a cross-sectional volatility dashboard that ranks up to 30 assets and visualizes regime shifts as a time-series heatmap.
It computes annualized historical volatility (%) on a fixed 1D basis, then maps each asset’s volatility into a configurable color spectrum for fast, intuitive scanning of risk conditions across cryptocurrencies.
⚙️ How It Works
1. Daily, Annualized Historical Volatility
Each asset is measured on a fixed 1D timeframe (independent of your chart timeframe). Volatility is annualized and expressed in percentage terms. The user can choose between 1 of 4 volatility estimators: Close-Close (log returns stdev), Parkinson (H/L), Garman-Klass or Rogers-Satchell.
2. Heatmap
A heatmap is plotted on the lower window (sorting is turned on by default). Each row represents a rank position. (Rank #1 highest vol ... Rank #30 lowest vol). This means that tokens will move between rows over time as their volatility changes. The asset labels show the current token sitting in each rank bucket. This setting can be turned off for more of a "random" look.
3. Color Scaling
The user can select how the color range is normalized for visualization.
n = (v - scaleMin) / (scaleMax - scaleMin)
Cross-Section: Scales colors using the current bar’s cross-sectional min/max across the asset list.
Rolling: Scales colors using a lookback window of cross-sectional ranges, so today’s values are judged relative to recent volatility history.
Fixed: Uses your chosen Fixed Scale Min / Max for consistent benchmarking across time.
4. Contrast Control
The Color Contrast control option changes how aggressively the palette emphasizes extremes (useful for making “risk spikes” pop vs keeping gradients smooth).
5. Summary Table + Composite Read
The table highlights the highest vol / lowest vol token, along with average / median volatility, and a simple regime read (low / medium / high cross-sectional volatility).
✨ How to Use (Practical Reads)
Spot risk-on / risk-off transitions: When the heatmap “heats up” broadly (more hot colors across ranks), cross-sectional volatility is expanding (higher dispersion / risk).
Identify which names are driving the narrative: With sorting ON, the top ranks show which assets are currently the volatility leaders — often where attention, liquidity, and positioning stress is concentrated.
Use it as a regime overlay: Low/steady colors across most ranks tends to align with calmer conditions; sharp bright bursts signal volatility events.
✨ Customizable Settings
1. Assets
30 symbol inputs (defaults to crypto, but works across markets)
2. Calculation Settings
Length (lookback)
Volatility Estimator (Close-Close / Parkinson / GK / RS)
3. Style Settings
Color Scheme (SeerQuant / Viridis / Plasma / Magma / Turbo / Red-Blue)
Color Scaling (Cross-Section / Rolling / Fixed)
Scaling Lookback (for Rolling)
Fixed Scale Min / Max (for Fixed)
Color Contrast (emphasize extremes vs smooth gradients)
Sort Heatmap (High → Low)
Gradient Legend toggle
Focus Mode (highlights the chart symbol if included)
Ticker Label Right Padding
🚀 Features & Benefits
Cross-sectional volatility at a glance (dispersion/risk conditions)
Sortable rank heatmap for tracking “who’s hot” in volatility
Multiple estimators for different volatility philosophies
Flexible normalization (current cross-section, rolling context, or fixed benchmarks)
Clean legend + summary stats for quick context
📌 Notes
Sorting changes which token appears in each row over time (rows are rank buckets).
Volatility is computed on 1D even if your chart is lower/higher timeframe.
📜 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult a licensed financial advisor before making trading decisions. Use at your own risk.
Dynamic ATR-based Renko Overlay - Non repaintingDaily ATR-Based Renko Overlay
Overview
This Pine Script v5 indicator creates a dynamic Renko overlay on your time-based charts (optimized for 1-minute timeframes), using the previous period's ATR from a user-specified higher timeframe (default: 1-hour) to determine brick sizes. Unlike traditional Renko charts, this is an overlay that draws Renko bricks directly on top of your existing candles, allowing you to combine the noise-filtering power of Renko with the full features of time-based charts.
It's designed for traders who want Renko's trend-clarity benefits without switching chart types, especially useful for intraday trading in volatile markets like forex, stocks, or crypto.
Key Features
- Adaptive Brick Sizing: Brick size is calculated as a percentage (default 40%) of the previous period's ATR (Average True Range, default length 14) from the selected higher timeframe (default: 1-hour). This makes bricks volatility-adjusted—larger in high-vol periods to reduce noise, smaller in low-vol for more detail.
- Periodic Recalculation: Resets brick size at the start of each new period based on the user-specified reset timeframe (default: daily), using the prior period's ATR from the chosen timeframe. This ensures relevance without unwanted disruptions.
- Traditional Renko Logic: Uses 1-box reversal (a full brick against the trend to reverse). Bricks form based on closing prices, ignoring time and minor fluctuations.
- Visual Style: Stepped lines with green (up) and red (down) fills for a box-like appearance. Semi-transparent for easy overlay on candles.
- Customizable Inputs:
- ATR Length: Adjust the ATR period (default: 14).
- Percentage of ATR: Fine-tune brick sensitivity (default: 0.4 or 40%; range 0-1).
- ATR Timeframe: Specify the timeframe for ATR calculation (default: "60" for 1-hour; enter as a string like "240" for 4-hour, "D" for daily, etc.).
- Reset Timeframe: Specify the period for recalculating the brick size (default: "D" for daily; enter as a string like "W" for weekly, "M" for monthly, etc.).
How It Works
1. Fetches ATR from the user-specified timeframe via `request.security` for higher-timeframe volatility data.
2. On new periods based on the reset timeframe (or first load), sets brick size to `percent * ATR_HTF`.
3. Tracks Renko "close" and "previous close" to calculate bricks:
- Upward moves add green bricks in multiples of the size.
- Downward moves add red bricks.
- Reversals require a full brick against the direction.
4. Plots and fills create the overlay, updating on each 1-min bar close.
Add it to a 1-minute chart for best results—bricks will adapt periodically while you retain full candle visibility.
Why This Indicator is Helpful
TradingView's native Renko charts are powerful but come with limitations that can frustrate serious traders:
- No Bar Replay: Native Renko doesn't support TradingView's bar replay feature, making it hard to simulate historical trading sessions.
- Inaccurate/Repainting Strategy Testing: Strategies on native Renko can repaint or lack precision due to the non-time-based nature, leading to unreliable backtests.
- Limited Data History: Fast Renko timeframes (e.g., small bricks) often load very little historical data, restricting long-term analysis.
This overlay solves these by building Renko on a time-based chart:
- Full Bar Replay Support: Replay sessions as usual on your 1-min chart—the Renko follows along.
- Accurate, Non-Repainting Testing: Test strategies on the underlying time chart without repainting issues, as Renko is derived from closes.
- Unlimited Data Depth: Access TradingView's full historical data for 1-min charts (up to years of bars), not limited by Renko's data constraints.
- Hybrid Analysis: Overlay Renko on candles to spot trends while using volume, indicators (e.g., RSI, MAs), or drawing tools that don't work well on native Renko.
It's a game-changer for trend-following, breakout strategies, or filtering noise in short-term trades. No more switching charts—get the best of both worlds!
Usage Tips
- Best on 1-min charts for intraday precision, but experiment with others.
- Tune the percentage lower (e.g., 0.3) for more bricks/sensitivity, higher (e.g., 0.5) for fewer/false-signal reduction.
- Adjust the ATR timeframe to match your strategy—e.g., "240" for longer-term volatility or "15" for shorter.
- Customize the reset timeframe for different recalculation frequencies—e.g., "W" for weekly resets to capture broader market shifts, or "240" for every 4 hours.
- Combine with alerts: right now I am experimenting with 90 period EMA and the Renko brick pullbacks to find some EDGE
If you find this useful, give it a thumbs up or share your tweaks in the comments. Feedback welcome—happy trading! 🚀
Daily ATR (Shown on All Timeframes)Daily ATR (Shown on All Timeframes) displays the Daily timeframe ATR on any chart you’re viewing, so you always know the current day’s average range without switching timeframes.
True Daily ATR (not chart ATR): The script pulls ATR from the Daily chart using request.security() and shows that value on every timeframe.
On-chart table (top-right): A clean 2-row table shows:
The label: Daily ATR (Length)
The ATR value, with an optional ATR-as-% of price readout.
Custom display controls:
ATR Length input (default 14)
Toggle to show ATR % of current price
Toggle to show/hide the table
Choose table text color
Choose table text size (Tiny → Huge)
Data Window output: The Daily ATR value is also plotted invisibly so it appears in TradingView’s Data Window for quick reference.
This is useful for gauging daily volatility, setting risk/position sizing, and comparing intraday movement to the stock’s typical daily range.
Daily ATR (Shown on All Timeframes)Daily ATR (Shown on All Timeframes) displays the Daily timeframe ATR on any chart you’re viewing, so you always know the current day’s average range without switching timeframes.
True Daily ATR (not chart ATR): The script pulls ATR from the Daily chart using request.security() and shows that value on every timeframe.
On-chart table (top-right): A clean 2-row table shows:
The label: Daily ATR (Length)
The ATR value, with an optional ATR-as-% of price readout.
Custom display controls:
ATR Length input (default 14)
Toggle to show ATR % of current price
Toggle to show/hide the table
Choose table text color
Choose table text size (Tiny → Huge)
Data Window output: The Daily ATR value is also plotted invisibly so it appears in TradingView’s Data Window for quick reference.
This is useful for gauging daily volatility, setting risk/position sizing, and comparing intraday movement to the stock’s typical daily range.
Intermarket Divergence (Futures vs Equity)Intermarket Divergence (Futures vs Equity)
This indicator detects intermarket divergence between a traded instrument (futures, CFD, or spot) and a related equity or ETF.
It highlights moments where price and its underlying market drivers disagree, often appearing before reversals or expansions.
🎯 What It Shows
Bullish divergence:
Price makes a lower low while the equity makes a higher low
Bearish divergence:
Price makes a higher high while the equity makes a lower high
Based on swing pivots, not candle noise
Designed for intraday context, not mechanical entries
✅ Recommended Use
XAUUSD (Gold) → GDX (default)
XAGUSD (Silver) → SIL
USOIL / WTI → XLE
(These guidelines are included directly in the indicator settings.)
🧭 How to Use
Apply on 15m–30m
Look for signals near key levels (PDH/PDL, Asia high/low, HTF structure)
Use price action for entries
Divergence is context, not a signal.
⚠️ Notes
Non-repainting
Signals are selective by design
Best during London & New York sessions
LiquidityPulse MTF Intrabar Micro-Structure Absorption DetectorLiquidityPulse MTF Intrabar Micro-Structure Absorption Detector
Non-repainting: Markers appear on bar close and do not change.
Important (if you can’t see any markers)
This indicator measures intrabar micro-structure and it can use seconds-based micro data on lower timeframes.
If you load it and don’t see anything:
Go to 15m or higher, or
In settings, change Micro feed (inside HTF bar) from Auto to 1m / 5m / 15m.
Auto will often choose a “micro” feed that’s very small when your HTF is small, which can affect what you see.
What this indicator does
This script is designed to highlight absorption-like conditions by analysing what happens inside each higher-timeframe (HTF) candle — not just the candle’s OHLC.
It looks for candles where:
price moves a lot internally (high intrabar activity),
the candle structure shows churn / rejection (wick dominates body),
and participation is elevated (relative high volume).
When those conditions align, the indicator prints a marker line at the wick extreme:
LW (Lower-wick marker) = printed at the candle’s low
UW (Upper-wick marker) = printed at the candle’s high
Each marker is then extended to the right (so it can be treated like a potential level).
Image shows a wick-dominant candle with an absorption marker: Markers appear when price shows strong intrabar movement, a wick-dominant candle structure, and elevated participation — a combination often associated with absorption-like behaviour.
How it works
A marker is created only when all three filters pass on a confirmed candle close:
1) Intrabar micro-speed (internal activity)
The script pulls intrabar closes from a lower timeframe (“micro feed”) and sums the absolute internal price changes inside the HTF candle.
It then converts this to a Z-score and checks it against the Speed-z threshold.
Higher threshold = fewer, stronger events.
2) Wick vs body (churn / rejection structure)
This measures how the HTF candle’s internal range compares to its net close-to-open movement using:
Churn ratio = (HTF range) / (HTF body)
If the candle has a large range but a relatively small body, it indicates that price moved extensively during the candle but made limited net progress by the close — a structure often associated with active two-sided participation and absorption-like behaviour.
3) Relative HTF volume (participation filter)
The script also Z-scores HTF volume and requires it to exceed the Volume z-score threshold.
This helps filter out candles that show apparent activity but occur on relatively low participation.
Multi-timeframe + micro-structure analysis: Image shows a 15 minute chart marker on the 1 minute timeframe. The indicator can analyse higher-timeframe candles (15 minute) while using lower-timeframe micro data inside each bar (1 minute). This allows absorption-style markers to be plotted with higher-timeframe context and intrabar detail.
Composite Intensity
When a marker triggers, the script calculates a Composite Intensity number (CI):
It’s a combined score based on how strongly each of the three conditions exceeded its threshold.
Higher CI = stronger absorption-style event
Higher CI = brighter chart marker
The table shows:
HTF and Micro timeframes being used
the last marker type (LW or UW)
the last CI value
Micro feed & multi-timeframe behaviour
This indicator always works as a two-layer system:
HTF candle (context) → the candle you’re analysing
Micro feed (inside HTF bar) → the intrabar data used to measure micro-speed
Higher-TF source
Chart timeframe = uses your chart timeframe as HTF
Manual = choose any HTF (example: chart = 1m, HTF = 15m → prints 15m absorption markers onto a 1m chart)
Micro feed options
Auto (recommended) picks a sensible micro feed based on HTF
Or choose 1s / 1m / 5m / 15m manually for performance/clarity
HTF direction filter (optional)
When enabled:
LW markers only print when the HTF candle closes bullish
UW markers only print when the HTF candle closes bearish
This is optional and is designed to reduce noise by aligning markers with the directional bias of the higher-timeframe candle.
Traders can use the absorption markers to:
Identify potential areas of interest where price showed unusually high intrabar activity but limited net progress by the close.
Mark reference levels where price may react again later, reflecting prior elevated participation and extensive intrabar movement areas.
Add structural context to existing analysis such as trend structure, support/resistance, session highs/lows, or other volume-based tools.
Compare behaviour across timeframes, by observing how absorption-style events on a higher timeframe align with lower-timeframe price action.
Image shows price reacting to a previous absorption markers level (Lines/ levels can be extended in the settings): Extended LW / UW markers can be observed as areas of prior absorption-like activity. Traders may watch how price behaves around these levels (reaction, acceptance, or rejection) alongside their own structure, liquidity, or risk management tools.
Key settings (what they change)
Higher-TF source / Higher-TF bar (manual): which candle timeframe is analysed
Micro feed (inside HTF bar): what intrabar resolution is used to calculate micro-speed
Speed-z threshold: how unusual intrabar activity must be
Wick/Body threshold: how large the candle’s total range must be compared to its body
Volume z-score threshold: how elevated HTF volume must be
Z-score look-back: how far back the indicator normalises speed/volume
Line extension (bars): raise if you want markers to behave more like extended levels
Max markers: how many markers remain on the chart at once
Alerts
Alerts trigger on candle close when an absorption marker is detected.
Disclaimer
This indicator does not measure true order flow or the full limit order book. It uses intrabar price activity, candle structure, and relative participation as interpretive tools to highlight absorption-like behaviour. It is not a buy/sell system, and all signals should be used with traders own confirmation and risk management.
STOP_TRADING_MODE📘 Release Notes
STOP_TRADING_MODE — Stable Release
Version: 1.0.0
Status: Stable / Production-ready
⸻
🎯 Purpose
This indicator is designed to identify market regimes, not to generate constant trade signals.
Its primary goal is to protect the trader from low-quality environments and highlight rare, high-quality interaction points with equilibrium.
⸻
🧠 Core Concepts
• STOP Mode — identifies impulsive, dangerous, or one-sided market conditions
• Equilibrium (MID / EQ) — represents the auction balance, not a trend level
• MAGNET vs SPRING — distinguishes range behavior from trend behavior
• EQ_HOLD — highlights valid reactions at equilibrium only in a range-friendly environment
⸻
✅ What’s Included
🔴 STOP Mode (Background Only)
• Red background marks:
• volatility spikes (ATR expansion)
• impulsive candles
• one-directional movement
• No entry signals
• Used strictly as a risk-environment filter
🟨 MID (Equilibrium Line)
• Calculated as SMA of HL2
• Acts as:
• Magnet in ranging markets
• Spring in trending markets
• Not a trade trigger by itself
🔁 MAGNET / SPRING Regime Detection
• Based on:
• frequency of MID crossings
• time spent near equilibrium
• market “trendiness” ratio
• Regime labels appear only when the regime changes
• Prevents constant label repainting or noise
🟢 EQ_HOLD Signal (Rare by Design)
• Triggered only when:
• STOP mode is OFF
• MID behaves as MAGNET
• price reacts cleanly at equilibrium
• Designed for micro-scaling / position management, not aggressive entries
• Low frequency = high informational value
⸻
🚫 What Was Removed (By Design)
• No STOP / STOP_OFF labels on chart (alerts only)
• No constant signal spam
• No reliance on trend prediction
• No “buy/sell” prompts
⸻
🎛 UI & Usability Improvements
• Clean, minimal visual layout
• Color logic aligned with meaning:
• 🔴 Risk / danger
• 🟨 Balance / structure
• 🟢 Action-permitted condition
• Optional toggles for regime and EQ_HOLD labels
⸻
🧪 Known Behavior (Not Bugs)
• MID crossing does not immediately change regime
• STOP may activate after entry — this signals risk management mode, not exit
• EQ_HOLD appears infrequently by intention
⸻
🧩 Intended Usage
• Best suited for:
• range-aware traders
• scale-in / scale-out strategies
• discretionary decision support
• Not intended for:
• high-frequency trading
• signal-following automation
• prediction-based entries
⸻
🧠 Design Philosophy
“Silence is a feature.”
If the indicator does nothing —
the market likely offers nothing worth doing.
H1 Liquidity Sweep Tracker🇬🇧 English: H1 Liquidity Sweep Tracker
Overview
The H1 Liquidity Sweep Tracker is a technical analysis tool designed for TradingView (Pine Script v5). It identifies "Liquidity Sweeps"—market movements where the price briefly breaches a significant level to trigger stop-loss orders before reversing.
Core Functions
H1 Level Detection: Regardless of your current timeframe (e.g., 1m, 5m, or 15m), the script automatically fetches the High and Low of the previous 1-hour candle.
Real-Time Monitoring: It tracks price action relative to these levels to identify failed breakouts.
Visual Indicators:
Horizontal Lines: Displays the H1 High (Red) and H1 Low (Green) from the previous hour.
Sweep Shapes: A triangle appears above/below the candle when a sweep is detected.
How it Works (The Logic)
A "Sweep" is triggered when the current price moves beyond the H1 boundary but fails to maintain that position:
Bullish Sweep: The price drops below the previous H1 Low (collecting sell-side liquidity) but closes back above it. This suggests a potential upward reversal.
Bearish Sweep: The price rises above the previous H1 High (collecting buy-side liquidity) but closes back below it. This suggests a potential downward reversal.






















