UT Bot Alerts [2026 Elite Edition]🚀 Overview
The UT Bot 2026 Elite Edition is the ultimate evolution of the legendary volatility trading system originally conceptualized by QuantNomad. While the original tool revolutionized trend following, this "Elite Edition" introduces Asymmetric Sensitivity—a professional feature that acknowledges a fundamental market truth: Assets do not fall the same way they rise.
This script allows you to decouple your Long and Short strategies, offering surgical precision for both bull runs and bear crashes, all while monitoring trade health via a new real-time Safety Dashboard.
🧠 The Logic: Why "Elite"?
Most trailing stop systems use a single setting (e.g., Key: 2, ATR: 10) for both buying and selling. This is efficient but often suboptimal.
Bull Markets often grind up slowly (requiring looser stops to avoid shakeouts).
Bear Markets often crash quickly (requiring tighter, faster stops to protect capital).
The Dual-Engine Solution: This script runs two separate calculation engines simultaneously:
The Buy Engine (Ceiling): Calculates the resistance ceiling using its own Sensitivity (Key) and Smoothness (ATR) settings.
The Sell Engine (Floor): Calculates the support floor using entirely different settings.
This means you can have a "Slow & Steady" settings for buying Bitcoin, but a "Fast & Aggressive" setting for shorting it, all within the same indicator.
✨ Key Features
1. Asymmetric "Dual-Key" Sensitivity
Buy Key & ATR: Tune your entry sensitivity for long positions.
Sell Key & ATR: Tune your short parameters independently.
Why this matters: You can now set a wide stop for trending up, but a tight stop for trending down to capture profit instantly when momentum breaks.
2. The Safety Dashboard (HUD) A professional Heads-Up Display (HUD) located in the top-right corner. It provides critical "Flight Data" that simple buy/sell labels hide:
Status: Instantly see if you are net Long or Short.
Stop Price (The Kill Level): The exact price where the trend will flip. Use this for your hard Stop Loss orders.
Active ATR: Displays the current volatility width. High ATR = High Volatility (Wide Stops). Low ATR = Consolidation (Tight Stops).
3. Heikin Ashi Smoothing
Includes a built-in toggle to calculate signals based on Heikin Ashi candles while viewing standard candles. This filters out "noise" and wicks, often keeping you in a trend longer.
4. Pine Script v6 Optimization
Refactored for the latest Pine Script v6 standards, ensuring faster execution and compatibility with the latest TradingView features.
🛠️ How to Use (Best Practices)
For Scalping (1m - 5m Timeframes):
Suggestion: Set Sell Key lower (e.g., 1.5) and Sell ATR lower (e.g., 5) to react quickly to drops. Keep Buy Key higher to avoid choppy fake-outs. I personally use the default settings on the 3M time frame with Gold and NQ with a high rate of success.
For Swing Trading (4h - Daily):
Suggestion: Increase Buy ATR (e.g., 30-100) to smooth out the noise of daily fluctuations.
The Dashboard:
Always check the Stop Price on the dashboard before entering. If the Stop Price is too far away from the current price, your risk might be too high for the trade size.
🙏 Credits & Appreciation
This script stands on the shoulders of giants.
Original Logic: Huge props and credit to QuantNomad for the original UT Bot strategy. His work laid the foundation for volatility-based trailing stops on TradingView.
Concept: Based on the "Ceiling/Floor" volatility theory.
Development: Enhanced and refactored by for the 2026 market environment.
Disclaimer: This tool is for information purposes only. Past performance does not guarantee future results.
ボラティリティ
RSI SCALPER with Dynamic ATR LinesThis is a versatile scalping indicator that combines RSI-based signals, dynamic ATR channels, and Stochastic-based divergence detection to identify potential entry and exit points in the market .
Key Features
Dynamic ATR Channel – Calculates support and resistance based on ATR (Average True Range) with configurable length and multiplier for both support and resistance lines, plus a midline
Multi-timeframe RSI – Two separate RSI calculations with independent timeframe settings: one for "KUN RSI" signals and one for "GET READY" alerts
Divergence Detection – Identifies regular and hidden bullish/bearish divergences using Stochastic D and fractals
25 MA Types – Comprehensive library of smoothing functions including WMA, HMA, EMA, TEMA, DEMA, ZLEMA, and several advanced variants
Signal Types
Signal Description
Get Ready (Long) Price crosses above dynamic support while RSI is oversold
Get Ready (Short) Price crosses below dynamic resistance while RSI is overbought
EXIT (Buy Break) Price closes above resistance (previously below) without simultaneous short signal
EXIT (Sell Break) Price closes below support (previously above) without simultaneous long signal
R-BULL / R-BEAR Regular divergence – signals potential trend reversal
H-BULL / H-BEAR Hidden divergence – signals trend continuation
Settings
RSI Parameters:
Separate timeframe selection for both RSI calculations
Configurable length and overbought/oversold levels (default 70/30)
ATR Channel:
Independent timeframe for channel calculation
Individual ATR lengths and multipliers for support (8/1.44) and resistance (14/1.44)
Divergence:
Dedicated timeframe setting
Stochastic parameters (length, smooth K, smooth D)
MA type selection for smoothing
Alerts
The indicator includes four predefined alerts for divergence signals that trigger only on confirmed bars:
Regular Bullish/Bearish Divergence
Hidden Bullish/Bearish Divergence
Use Cases
Suitable for active scalping and swing trading on crypto, forex, and stocks. Combine signals with price structure and volume for optimal use. The ATR channel adapts automatically to volatility, while divergence signals provide early warning of potential trend shifts .
Universal Adaptive Tracking🙏🏻 Behold, this is UAT (Universal Adaptive Tracker) , with less words imma proceed how it compares with alternatives:
^^ comparison with non-adaptive quadratic regression (purple line), that has higher overshoots, less precision
^^ comparison with JMA and its adaptive gain. JMA’s gain is heavily limited, while UAT’s negative and positive gains are soft-saturated with p-order Möbius transform
This drop is inspired by, dedicated to, and made will all love towards Jurik Research , who retired in October 2k21. When some1 steps out, some1 has to step in, and that time it’s me (again xd). But there’s some history u gotta know:
Some history u gotta know:
In ~2008 dudes from forexfactory reverse engineered Jurik Moving Average
In late 1990s dudes from Jurik Research approximated the best possible adaptive tracking filter for evolution of prices via engineering miracles
Today in 2k26, me I'm gonna present to you the real mathematical objects/entities behind JMA top-edge engineered approximates. You will prolly be even more happy now then all the dem together back then.
Why all this?
When we talk about object tracking stuff, e.g. air defense, drones, missiles, projectiles, prices, etc, it all comes down to adaptive control and (Position & Velocity & Acceleration) aka PVA state space models (the real stuff many of you count as DSP ).
Why? Cuz while position (P) : (mean), or position & velocity (PV) : (linear regression) are stable enough in dem own ways, Position & Velocity & Acceleration (PVA) : (quadratic regression+) require adaptivity do be stable. And real world stuff needs PVA, due to non-linearity for starters.
So that’s why. If your goal is Really smoothing and no lag, u gotta go there. I see a lot of folks are crazy with it and want it, so here is it, for y’all. And good news, this is perfect for your favorite Moving Windows.
How to use it
The upper study:
The final filter (main state): just as you use other fast smoothers, MAs, etc, you know better than me here
You can also turn in volatility bands in script’s style settings, these do not require any adjustments
Finally, you can turn on, in the same place, separate trackers each based on negative and positive volatility exclusively. When both are almost equal, that indicates stability & persistence in markets. May sound like it’s nothing important, but I've never seen anything like it before. Also, if you'd allow your our inner mental gym hero gloriously arise, you can argue that these 2 separate trackers represent 2 fair prices (one for sellers, one for buyers). All better then 1 imaginary fair price for both (forget about it)
The lower study:
The lower study: you can analyze streams of upward of downward volatilities separately. This is incredibly powerful
You can also turn these off and turn on neg & pos intensities, and use them as trend detector, when each or both cross 1.5 (naturally neutral) threshold.
^^ Upper study with expected typical and maximum volatility bands turned On
...
The method explained
What you got in the end is non-linear, adaptive, lighting fast when needed and slow when required price tracking. All built upon real math entities/objects, not a brilliantly engineered approximation of them. No parameters to optimize, data tells it all.
... It all starts from a process model, in our cause this is...
MFPM (Mechanical Feedback Price Model)
Doesn’t make gaussian assumptions like most quant mainstream tech, accepts that innovations are Laplace “at best”, relies in L inf and L0 spaces.
I created this model neither trynna fit non-fitting ARMA / variants, nor trynna be silly assuming that price state evolution and markets are random.
Theory behind it: if no new volume comes, then price evolution would be simply guided by the feedback based on previous trading activity, pushing prices towards the midrange between 2 latest datapoints, being the main force behind so called “pullbacks” and reason why most pullbacks end just a bit past 50% of a move.
This is the Real mechanical feedback based mean reversion, that is always there in the markets no matter what, think of it as a background process that is always there, and fresh new volume deviates prices away from it. Btw, this can also be expressed as AR2 with both phis = 0.5 .
Then I separate positive and negative innovations from this model and process them separately, reflecting the asymmetry between buy and sell forces, smth that most forget. Both of these follow exponential distribution . Each stream has its own memory so here we use recursive operators . We track maximum innovations (differences between real and expected datapoints) with exponentially decaying damping factor, and keep tracking typical innovation, with the same factor.
Then we calculate what’s called in lovely audio engineering as “ crest factor ”, the difference is we don’t do RMS and stuff. But hey again we work with laplace innovations, so we keep things in L0 and L inf spirit. Then we go a couple of steps further, making this crest factor truly relative (resolution agnostic), and then, most importantly, we apply a natural saturation on it based on p-order Möbius transform, but not with arbitrary p and L, but guided by informational limits of the data. These final "intensity" parameters are what we need next to make our object tracking adaptive.
Extended Beta(2, 2) Window
This is imo the main part of this. Looking at tapering windows in DSP and how wavelets are made from derivatives of PDF functions of probability distributions, I figured that why use just one derivative? That made me come up with Universal Moving Average , that combines PDF and CDF of Beta(2, 2) distribution . And that is fine for P (position) tracking model.
Here we need PVA (position & velocity & acceleration). We can realize that everything starts from PDF, and by adding derivatives and anti-derivatives of it as factors of final window weights, we can create smth truly unique, a weightset that is non-arbitrary and naturally provides response alike quadratic regression does, But, naturally smoothed.
Why do I consider this a discovery, a primordial math object? Because x^2 itself and Beta(2, 2) based on it are the only primitives, esp out of all these dozens of DSP tapering windows, that provide you a finite amount of derivatives. You can keep differentiating Hann window until the kingdom f come, while Welch window aka Beta(2, 2) has a natural stopping point, because the 3rd derivative is 0, so we can’t use it. Symmetrically, we do 2 steps up from PDF, getting 1st and second anti-derivatives. What’s lovely, symmetrically, 3rd antiderivative even tho exist, it stops making any sense. 2nd one still makes sense, it’s smth like “potential” of probability distribution, not really discussed in mainstream open access sources.
Finally, the last part is to introduce adaptivity using these intensity exponents we’ve calculated with MFPM. We do 2 separate trackers, one using the negative intensity exponent, another one uses positive intensity exponent.
And at the end, even tho using both together is cool, the final state estimate is calculated simply as the state which intensity has higher.
^^ impulse response of our final kernel with fixed (non adaptive) intensity exponents: 1 (blue) and 2 (red). You see it's all about phase
…
And that’s all folks.
…
Actually no …
Last, not least, is the ability to add additional innovation weight to the kernel:
^^ Weighting by innovations “On”. Provides incredible tracking precision, paid with smoothness. I think this screenshot, showing what happened after the gap, and how the tracker managed to react, explains it all.
...
Live Long and Prosper, all good TradingView
∞
[codapro] Elite Momentum & Smart Money Detector
Elite Momentum & Smart Money Detector
Overview
The Elite Detector is a non-repainting indicator that merges Smart Money Concepts, Adaptive Volatility-Based Momentum, and Multi-Timeframe Trend Confluence to identify high-probability trade setups. This tool helps confirm institutional intent and market pressure before triggering actionable signals.
Core Systems
Smart Money Concepts (SMC)
• Highlights institutional order blocks
• Detects equal highs/lows as liquidity zones
• Automatically cleans up outdated zones for clarity
Adaptive Momentum Engine
• Momentum calculated with volatility-adjusted smoothing
• Normalized scale from -100 to +100
• Candle coloring reflects trend strength dynamically
Squeeze Detection System
• Flags volatility contraction zones using Bollinger and Keltner channels
• Background shading highlights compression zones
• Histogram shows directional breakout pressure
Multi-Timeframe Trend Validation
• Aligns signals with higher timeframe momentum
• Built-in logic auto-selects appropriate HTF per chart
• Reduces false signals and improves timing
Signal Logic
Buy Signal appears when:
Momentum crosses from negative to positive
Squeeze condition is active
Higher timeframe confirms bullish trend
Sell Signal appears when:
Momentum crosses from positive to negative
Squeeze condition is active
Higher timeframe confirms bearish trend
All signals are non-repainting and appear only once all conditions are met.
Visual Dashboard (Top-Right Corner)
Displays real-time confirmation across five categories:
Momentum: Current trend direction and strength
Squeeze: Indicates if volatility is compressed
HTF Trend: Confirms higher-timeframe alignment
Volatility: Current volatility phase (low, normal, or high)
Signal Status: Buy, Sell, or Neutral (Wait)
Chart Visuals
Candle Colors:
• Bright green/red = Strong momentum
• Faded green/red = Weak momentum
Background Colors:
• Orange = Squeeze is active
• Clear = Normal market activity
Boxes:
• Green = Bullish order blocks
• Red = Bearish order blocks
Dashed Lines:
• Red = Equal highs (liquidity zones above)
• Green = Equal lows (liquidity zones below)
Alert Conditions
Includes three prebuilt alerts for automation and webhook systems:
Elite Buy Signal
Elite Sell Signal
Squeeze Activation
These alerts allow users to respond to market shifts in real time or integrate with automated trading workflows.
Best Practices
Wait for Confluence: Confirm all three systems (momentum, squeeze, HTF trend) before entering
Watch Order Blocks: Institutional zones often act as support/resistance
Monitor Liquidity Zones: Be cautious of stop hunts near equal highs/lows
Use Dashboard Cues: Let the HUD validate your setup
Always Use Risk Management: This tool increases probability, not certainty
Example Setup:
1. Squeeze background appears
2. Buy signal triangle confirms
3. Dashboard shows: Momentum strong up, Squeeze on, HTF trend up
4. Price bounces off green order block
→ High-probability long entry
Why It Works
This tool leverages multiple uncorrelated concepts to filter low-quality trades and highlight setups with real institutional backing:
Order Blocks and Liquidity Zones track smart money footprints
Volatility-adjusted Momentum captures real energy shifts
Multi-Timeframe Confluence confirms trades in the broader context
Non-repainting signals ensure reliability
Final Note
The Elite Detector is designed to show you:
Where smart money is positioned,
When the market is coiling for a move,
and Which direction is supported by momentum and trend.
Use it as your high-probability entry engine — across any market or timeframe.
Disclaimer
This tool was created using the CodaPro Pine Script architecture engine — designed to produce robust trading overlays, educational visuals, and automation-ready alerts. It is provided strictly for educational purposes and does not constitute financial advice. Always backtest and demo before applying to real capital.
Luminous Volatility Flux [Pineify]```
Luminous Volatility Flux - Dynamic ATR Bands with Hull Moving Average Baseline
The Luminous Volatility Flux indicator is a sophisticated trend-following and volatility analysis tool that combines the responsiveness of the Hull Moving Average (HMA) with adaptive ATR-based bands that expand and contract based on real-time market volatility conditions. This indicator helps traders identify trend direction, volatility regimes, and potential breakout opportunities with high-probability entry signals.
Key Features
Hull Moving Average baseline for low-lag trend detection
Dynamic volatility bands that breathe with market conditions
Flux Factor system comparing short-term vs long-term ATR
Volatility-filtered breakout signals to reduce false entries
Gradient-filled zones for intuitive visual analysis
Real-time bar coloring based on trend direction
How It Works
The indicator operates on three core calculation layers:
1. Hull Moving Average Baseline
The foundation of this indicator is the Hull Moving Average, calculated using the formula: WMA(2*WMA(n/2) - WMA(n), sqrt(n)). Unlike traditional moving averages, the HMA dramatically reduces lag while maintaining smoothness. This makes it ideal for identifying trend changes earlier than conventional EMAs or SMAs. When the HMA is rising, the baseline turns green indicating bullish momentum; when falling, it turns red for bearish conditions.
2. Volatility Flux Factor
The unique aspect of this indicator is the Flux Factor calculation. It compares short-term ATR (default 14 periods) against long-term ATR (default 100 periods) to determine the current volatility regime:
Flux Factor > 1.0 = Volatility Expansion (market is more volatile than usual)
Flux Factor < 1.0 = Volatility Compression (market is in a squeeze)
This ratio creates a dynamic multiplier that causes the bands to expand during high volatility periods and contract during consolidation phases.
3. Dynamic Band Calculation
The upper and lower bands are calculated as: Baseline ± (Short ATR × Multiplier × Flux Factor). This means the bands automatically widen when volatility increases and tighten during quiet market conditions, providing context-aware support and resistance levels.
Trading Ideas and Insights
Trend Following: Trade in the direction of the baseline color. Green baseline suggests looking for long opportunities; red baseline suggests short opportunities.
Volatility Breakouts: The indicator plots "Flux" signals when price breaks above the upper band (bullish) or below the lower band (bearish) during volatility expansion phases. These signals indicate potential momentum continuation.
Mean Reversion: During compression phases (tight bands), prices often revert to the baseline. Consider taking profits near the bands and re-entering near the baseline.
Squeeze Detection: When bands are unusually tight (Flux Factor < 1), the market is coiling for a potential explosive move. Prepare for breakout trades.
How Multiple Indicators Work Together
This indicator integrates three distinct technical analysis concepts into a cohesive system:
The Hull Moving Average provides the trend direction foundation with minimal lag. The dual ATR comparison (short vs long) creates the Flux Factor that measures relative volatility. The dynamic bands combine both elements, using the HMA as the center and ATR-based deviations that scale with the Flux Factor.
The synergy works as follows: The HMA identifies the trend, the Flux Factor determines market regime (expansion vs compression), and the bands provide dynamic support/resistance levels. Breakout signals only trigger when all components align - price breaks the band AND volatility is expanding. This multi-layered approach filters out many false signals that would occur with static bands or simple moving average crossovers.
Unique Aspects
Unlike Bollinger Bands that use standard deviation, this indicator uses ATR ratio-based dynamic bands that better capture directional volatility
The Flux Factor concept is original - comparing two ATR timeframes to create a volatility regime indicator
Breakout signals are filtered by volatility expansion, reducing false signals during choppy, low-volatility conditions
Gradient fills provide instant visual feedback on the strength of the bullish or bearish zones
How to Use
Add the indicator to your chart. It works on all timeframes and instruments.
Observe the baseline color for overall trend direction (green = bullish, red = bearish).
Watch for band expansion/contraction to gauge volatility regime.
Look for "Flux" signals for potential breakout entries - these appear only during volatility expansion.
Use the gradient zones to identify potential support (lower green zone) and resistance (upper red zone) areas.
Customization
Baseline Length (default: 24) - Controls the HMA period. Lower values = more responsive but noisier; higher values = smoother but more lag.
ATR Length (default: 14) - Short-term ATR period for band calculation. Standard setting works well for most markets.
Flux Multiplier (default: 2.0) - Controls band width. Increase for wider bands (fewer signals), decrease for tighter bands (more signals).
Flux Sensitivity (default: 100) - Long-term ATR period for Flux Factor calculation. Higher values create a more stable volatility reference.
Conclusion
The Luminous Volatility Flux indicator offers traders a comprehensive view of market conditions by combining trend detection, volatility analysis, and signal generation into one elegant tool. Its adaptive nature makes it suitable for various market conditions - from trending markets where it identifies direction and momentum, to ranging markets where it highlights compression and potential breakout zones. The volatility-filtered signals help traders focus on high-probability setups while the visual gradient fills make chart analysis intuitive and efficient.
Note: This indicator is designed as a technical analysis tool. Always use proper risk management and consider multiple factors before making trading decisions. Past performance does not guarantee future results.
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Hooke's Law: Market ElasticityHooke's Law: Market Elasticity is a physics-based mean reversion system that models price action using the principles of Classical Mechanics.
Most technical indicators treat the market as a purely statistical entity. This script takes a different approach, treating the market as a physical object with Mass (Volume) and Stiffness (Volatility) . By adapting Hooke’s Law of Elasticity (𝐹=−𝑘𝑋), it visualizes the "Tensile Stress" between price and its equilibrium, identifying the exact moment when a trend becomes unsustainable and must "snap back."
The Physics of Trading
In physics, Hooke's Law states that the force needed to extend a spring is proportional to the distance it is stretched. We map this to financial markets using four key components:
Equilibrium (𝑋=0): The "Resting State" of the market, calculated using a Volume-Weighted Moving Average (VWMA) . This represents the fair value where buyers and sellers agree.
2. Displacement (𝑋): The distance price travels away from this equilibrium.
3. Spring Constant (𝑘): We use Volatility (Standard Deviation) to measure the market's "stiffness."
• Low Volatility: The spring is loose; price can wander far without snapping.
• High Volatility: The spring is stiff; even small deviations create massive tension.
4. Force (𝐹): The calculation is weighted by Relative Volume . A price spike on low volume has low force (easy to reverse), while a spike on high volume carries high momentum (harder to reverse).
Visual Guide & Signals
The indicator uses a hierarchy of visuals to guide you through the trade lifecycle:
1. The Elastic Ribbon (Heatmap)
Connects Price to the Baseline. As the ribbon turns Solid White , the market has reached its Elastic Limit (Critical Zone). This is your warning that a move is overextended.
2. The "Golden" Labels (LONG / SHORT)
These are your Entry Signals . They appear only when the physics "snap" is confirmed by an internal momentum filter and price action.
3. The Small Circles (Minor Reversions)
These dots represent "Minor Snaps." They occur when the elastic tension releases, but the momentum filter hasn't fully confirmed a major reversal.
• Usage: These are excellent Early Warning signs or Scale-In points for aggressive traders.
Strategy: Entries, Exits & Take Profits
This script is designed as a complete system. Here is how to manage the trade using the visual cues:
• Entry: Wait for a LONG or SHORT label to appear.
• Stop Loss: Use the Solid White Line that appears automatically with the signal. If price touches this line, the physics setup has failed—exit immediately.
• Take Profit 1 (The Equilibrium): The Gray Baseline represents the market's center of gravity. In mean reversion trading, price tends to snap back to this line. This is the statistically highest-probability target.
• Take Profit 2 (The Circles): If you are in a trade and a Circle appears in the opposite direction, it indicates the market is experiencing counter-tension. This is an ideal place to secure partial profits or trail your stop.
Settings & Configuration
• Baseline Length (Default: 34): The lookback period for the Center of Gravity.
• Elasticity Limit (Default: 2.618): The Golden Ratio is used as the standard deviation threshold for the "Critical Zone."
• Volume Weighting (Default: True): Recommended. Adds the "Mass" component to the physics calculation.
• Stop Loss Buffer (Default: 0.5): The distance (in Sigma) for the Stop Loss placement.
Risk Disclaimer
Not Financial Advice: This indicator is designed for educational and analytical purposes only. It visualizes market data based on mathematical formulas (Hooke's Law and Statistical Deviation) and does not guarantee future performance or profits.
Market Risks: Financial trading involves significant risk. The "Critical Zones" and "Signals" generated by this script identify statistical extremes, but markets can remain irrational or overextended for long periods ("Plastic Deformation").
Usage: Do not trade blindly based on these signals. Always use this tool in conjunction with your own analysis, risk management, and stop-losses. The author assumes no responsibility for any trading losses incurred while using this script.
Daily ATR + DeltaThis indicator shows last value of ATR with this parameters: Length 14, Smoothing RMA, Timeframe 1 day i Wait for timeframe closes.
Also, it shows Delta in percentage.
Delta is calculated in this way: -((the last one-minute closing price of the previous day's stock exchange)-(last price at the moment))/(value of ATR) * 100
Notice:
If you are in postmarket or premarket, delta will be also calculated from the "the last one-minute closing prices of the previous day's stock exchange" not from the "the last one-minute closing price of the todays stock exchange".
You dont need to have indicator Average True Range for this indicator to be working.
Overshoot Stop Detector (EMA20 + ATR)How to read the signals (to match what you're doing):
An "OS" (Offside) above the previous bar indicates an overshoot.
A "STOP" (Stop) below the current bar indicates a potential "stop-loss" after an overshoot.
Then you can set a Beer-style trigger, for example:
Enter when the price breaks through the high of the STOP bar.
Or enter when the price closes green above the high of the STOP bar.
Then set your TP (Take Profit) at 10 to 15% as you've hypothesized.
(5M) REG SuperTrend Pullback SystemThis indicator implements a rule-based SuperTrend pullback system
designed for short-term trend continuation.
Core features:
• Regression-based SuperTrend with flip detection
• Pullback + reclaim entry logic (non-repainting, bar-close confirmed)
• Regime filter (Trend vs Range suppression)
• Exhaustion detection to avoid late entries
• ADX + EMA bias alignment
• USDT Dominance risk filter (risk-on / risk-off)
• Clear BUY / SELL and Pullback AI-style entry labels
This is NOT a trading bot and does NOT place orders.
All signals are for analytical and educational purposes only.
Institutional Confluence Nexus [Pro]The Problem: Noise vs. Signal
In the world of Smart Money Concepts (SMC), traders are often overwhelmed by "chart clutter." Standard indicators blindly highlight every Fair Value Gap (FVG) and Order Block (OB), regardless of whether the market is trending, ranging, or dead. This leads to analysis paralysis and low-probability entries.
The Institutional Confluence Nexus was built to solve this. It is not just a structure detector; it is a filtering engine. It uses a multi-factor model to hide low-probability zones and only highlight setups where Structure, Volume, and Momentum align.
The "Quantum" Integration
This script includes a built-in Quantum Regression Oscillator (QRO) engine running in the background. Unlike standard RSI or MACD which are reactive (lagging), the QRO uses Linear Regression mathematics to project momentum trajectory.
By combining institutional structure (Price Action) with quantum momentum (Math), this tool generates specific high-probability signals that only appear when price action and momentum are in perfect agreement.
How It Works & Visual Guide
This indicator is a complete trading suite. Here is what every symbol and color on your chart represents:
1. The "Nexus" Reversal Signals (Triangles)
Symbol : Green Triangle (Up) / Red Triangle (Down) labeled NEXUS.
Logic : These appear when price taps a valid Order Block that aligns with the macro trend (200 EMA).
Meaning : These are your primary "Trend Join" setups. They indicate that the institutional trend is resuming after a retracement.
2. High-Volume Breakouts (Bar Colors)
Symbol : Yellow Candles (Bullish) / Orange Candles (Bearish).
Logic : The script detects when a Break of Structure (BOS) occurs with Above-Average Volume.
Meaning : A breakout without volume is often a fakeout. These colored bars confirm that institutions are fueling the move. If you see a Yellow bar, it means "Smart Money" is buying the breakout.
3. QRO Confluence Signals (Labels)
These are the most advanced signals in the suite, combining Price Action with the internal Oscillator:
SNIPER (Blue/Purple) : The strongest reversal signal.
Condition : Price taps a Fair Value Gap + The internal QRO is at extreme volatility bands (Oversold/Overbought).
PB BUY / PB SELL (Aqua/Orange) : A trend continuation signal.
Condition : Price pulls back into a Fair Value Gap + The internal QRO confirms momentum is still healthy (above/below midline).
Note : These signals automatically draw a Red Line at the invalidation point (Stop Loss) to help you manage risk immediately.
4. The Confluence Dashboard
A non-intrusive Heads-Up Display (HUD) in the corner gives you a snapshot of the market state:
Trend : Is price above/below the 200 EMA?
Volume : Is current volume anomalous (High) or normal?
Structure : Are we breaking up, down, or ranging?
Settings & Customization
Smart Money Structure: Toggle FVGs and Order Blocks on/off.
FVG Extend: Control how far the gap "zones" extend to the right to see them as support/resistance zones.
Volume Filter: Enable/Disable the volume requirement (Keep enabled for higher strike rate).
Risk Management: Adjust the "Lookback" period for the automatic Stop Loss lines.
For Developers (Open Source)
I have kept the code open-source to foster learning in the Pine Script community. You can study how:
ta.linreg is used to smooth RSI data for the internal QRO engine.
box.new and line.new are used for dynamic drawing and extending zones.
var variables are used to store historical FVG levels to detect precise crossovers.
Disclaimer:
This tool is designed to assist with technical analysis and educational purposes. It does not guarantee profits. Always manage your risk and use this in conjunction with your own analysis.
Combined Indicators V2 by DeepsageCombined Indicators V2 – Overview
Combined Indicators V2 is an advanced trading indicator that builds on Combined Indicators V1 by Deepsage and Weighted Market Screener by Deepsage. It is designed to provide precise signals for long and short trades on very low timeframes (1m–5m) while aligning entries with the overall market trend.
Background: The Original Indicators
1. Combined Indicators V1 (Deepsage)
Combines three specialized indicators to generate signals:
Breakout Indicator: Uses Bollinger Bands and volume behavior to identify potential breakout trades.
Price Action Indicator: Detects price interaction with support and resistance levels, incorporating trend, volatility, and candlestick patterns.
Range Trading Indicator: Calculates RSI or Stochastic oscillator and plots signals against predefined upper and lower bands for range-bound markets.
2. Weighted Market Screener (Deepsage)
Monitors the overall market trend using 12 different indicators, each weighted based on its relevance.
Produces a market trend rating: strong buy, buy, neutral, sell, or strong sell.
What’s New in V2
1. Trend-Aligned Entries
In V2, the entry indicators (Breakout, Price Action, Range Trading) only generate signals when the Market Screener confirms the trend (can be turned off).
Long trades: Screener must rate the market as Buy or Strong Buy.
Short trades: Screener must rate the market as Sell or Strong Sell.
2. Session-Based Optimization
V2 supports the NY, London, and Tokyo trading sessions.
Each indicator can be restricted to the session where it performs best (can be turned off):
NY: Breakout Indicator
London: Price Action Indicator
Asia: Range Trading Indicator
3. Additional Enhancements
Market Screener locked to 15-minute timeframe, giving a clear view of the overall trend while entries are still executed on 1-minute charts.
Fully customizable alerts for buy and sell signals.
Settings allow traders to toggle indicators and alerts on/off for maximum flexibility.
Summary
Combined Indicators V2 is a powerful, session-aware, trend-aligned trading tool that merges multiple strategies into one cohesive system. It allows traders to:
Trade low timeframes with precise entries
Only take trades that align with the overall market trend
Optimize strategies based on trading sessions
Customize alerts and indicator settings for personal preferences
SIV Trading LightSmartInVisions Trading Light (SIV Trading Light)
**Multi-Factor Market Regime & Trade Bias Indicator**
---
## Overview and Purpose
**SmartInVisions Trading Light (SIV Trading Light)** is a market **context and trade-bias indicator**, not a signal generator.
Its purpose is to answer one practical trading question:
> *“Given the current market conditions, is it statistically more favorable to think LONG, SHORT, or stay neutral?”*
Instead of relying on a single indicator, SIV Trading Light **combines several independent market dimensions into one coherent score**.
This allows traders to avoid over-trading in unfavorable environments and to align trades with the dominant market context.
---
## Why This Is NOT a Simple Indicator Mashup
This script does **not** simply merge popular indicators.
Each component is:
* normalized,
* weighted,
* evaluated against thresholds,
* and translated into **positive, neutral, or negative score contributions**.
Only the **combined interaction** of these components produces the final trade bias.
No single indicator can dominate the result on its own.
---
## Core Calculation Concept
At every bar, the indicator evaluates multiple independent factors.
Each factor contributes points to a **total bias score**.
The score is then classified into one of three states:
* **LONG bias**
* **NEUTRAL**
* **SHORT bias**
The indicator does **not** predict price direction.
It classifies the **current trading environment**.
---
## Components and How They Work Together
### 1. Trend Structure (Moving Averages)
**Purpose:** Identify the dominant directional structure.
* Fast MA vs Slow MA relationship
* Price position relative to the slow MA
* Optional slope confirmation
Contribution:
* Positive points in aligned uptrends
* Negative points in aligned downtrends
* Neutral in mixed or unclear structures
---
### 2. Momentum (RSI)
**Purpose:** Measure directional strength.
* RSI above upper threshold → bullish momentum
* RSI below lower threshold → bearish momentum
* Mid-range RSI → neutral
Momentum refines trend signals by confirming or weakening them.
---
### 3. Trend Quality / Choppiness (ADX)
**Purpose:** Filter out sideways or noisy markets.
* ADX above threshold → trending environment
* ADX below threshold → choppy environment
ADX does **not** define direction.
It modifies how much weight trend and momentum signals receive.
---
### 4. Volatility Risk (ATR%)
**Purpose:** Penalize structurally dangerous environments.
ATR is normalized as a percentage of price:
* Excessively high volatility → risk penalty
* Extremely low volatility → participation penalty
* Balanced volatility → neutral or positive contribution
This prevents aggressive trading in unstable regimes.
---
### 5. Market Participation (Relative Volume)
**Purpose:** Confirm whether moves are supported by volume.
* High relative volume → confirmation
* Low volume → weaker confidence
Volume acts as a confidence modifier, not as a directional signal.
---
### 6. Higher-Timeframe Market Regime (Optional)
**Purpose:** Align trades with the dominant higher-timeframe context.
On a user-defined **regime timeframe**, the script evaluates:
* trend structure
* RSI momentum
The regime filter can:
* amplify signals aligned with the higher timeframe
* suppress signals against it
This avoids trading aggressively against dominant market structure.
---
## Multi-Timeframe Design
The indicator separates two concepts:
* **Trading Timeframe**: the chart timeframe used for execution
* **Regime Timeframe**: a higher timeframe used for contextual bias
This design allows the same logic to be applied to:
* day trading
* swing trading
* longer-term investing
---
## Presets and Customization
Built-in presets are provided for:
* Day Trading (USA / Europe)
* Swing Trading (USA / Europe)
* Investing (USA / Europe)
Presets define:
* factor weights
* thresholds
* score boundaries
They do **not** define:
* timeframes
* moving average types or lengths
This keeps structural decisions under user control while simplifying parameter tuning.
A **Custom mode** allows full manual configuration.
---
## Visual Output
The indicator provides:
* two moving average overlays (fast / slow)
* an optional background color reflecting the current bias
* a compact badge summarizing mode, score, and state
* an optional breakdown table showing how each factor contributes to the score
These visuals are designed to explain **why** the current bias exists.
---
## Alerts
Alerts are based on **state changes**, not on every bar.
Alert outputs include:
* numerical state (`1 = LONG, 0 = NEUTRAL, -1 = SHORT`)
* score value
* rounded moving average values
This allows integration into discretionary or systematic workflows without alert noise.
---
## How This Indicator Should Be Used
✔ As a **trade filter**
✔ To avoid trading in unfavorable conditions
✔ To align discretionary entries with market context
---
## What This Indicator Is NOT
✘ Not a buy/sell signal
✘ Not a prediction model
✘ Not a replacement for risk management
---
## Credits and License
**Publisher:** SmartInVisions GmbH
**Concept & Design:** Reiner Ernst
**Implementation & Iterative Development:** SmartInVisions GmbH + ChatGPT (OpenAI)
**License:** Mozilla Public License 2.0 (MPL-2.0)
---
## Disclaimer
This script is provided for educational and research purposes only.
It does not constitute financial advice. Trading involves risk.
---
Squeeze Indicator Squeeze Indicator is a volatility-focused indicator designed to identify periods of compression and the early transition into expansion.
It measures Bollinger Band Width (BBW) using a 20-period Bollinger Band to quantify how tightly price is coiling, then smooths BBW with a 16-period SMA and a faster 8-period EMA to distinguish structural compression from short-term changes in volatility.
The BBW itself is displayed as a subtle grey filled area to emphasize relative contraction and expansion, while a squeeze condition is highlighted whenever BBW falls below both its SMA and EMA, signaling an environment where volatility is suppressed and a directional move is more likely to follow.
Crossovers of the EMA above or below the SMA provide early warnings of volatility expansion or renewed compression, making the indicator especially useful for timing breakouts, anticipating regime shifts from range to trend, and managing options strategies that depend on changes in volatility rather than price direction.
Session VWAP Cumulative BiasThe Session VWAP Cumulative Bias indicator is designed to differentiate between "choppy" price action and true "institutional" trend days. Unlike standard VWAP indicators that only show where price is now, this tool tracks the cumulative sentiment of the entire session.
Core Functions:
Cumulative Z-Score Logic: It calculates the distance between price and VWAP (in Standard Deviations) and sums it up over the course of the day. This reveals the "weight" of the market bias—the longer price stays pinned away from the VWAP, the more extreme the histogram becomes.
Scale Protection: It includes a "Capping" mechanism that prevents morning gaps or low-volume outliers from distorting the scale, ensuring the histogram remains readable from open to close.
Momentum vs. Regime Toggles: Users can switch between VWAP Slope (measuring the speed of the average's movement) and Cumulative Bias (measuring total session dominance).
Visual price Overlay: It automatically colors the price candles and plots a session-anchored VWAP line on the main chart, providing a clear visual of when price is "fair" versus "overextended."
How to read it:
Trend Confirmation: A steadily growing "mountain" in the histogram confirms an institutional trend day where dips are being bought (or rips sold).
Mean Reversion: When price hits a new high but the Cumulative Histogram begins to round off or diverge, it signals that the "elastic band" is stretched and price is likely to return to the orange VWAP line.
Regime Shifts: A cross of the zero-line on the histogram indicates a total shift in session control from buyers to sellers (or vice versa).
Absorption Pro V4This indicator detects absorption-style reversal setups and scores them with a multi-factor model.
It builds key levels from ZigZag/Fibonacci and round numbers across multiple timeframes, then flags potential absorption candles using volume and a delta-proxy filter plus strict candle-structure rules. Signals are validated with trend context (MA/SMMA/EMA/ATR), VWAP positioning, and optional momentum/volatility filters (RSI, Stoch, CCI, MACD, ADX, Volume Profile). Only score-threshold crosses can trigger long/short markers and alerts (defaults tuned for NQ).
Volume Variance SuppressionVolume Variance Suppression Indicator
This indicator measures the variance of traded volume over a rolling window to detect periods of participation compression.
When volume variance falls below a defined threshold, it signals:
Reduced initiative order flow
Dominance of passive liquidity
Market balance / consolidation rather than trend
These suppression phases often precede volatility expansion, failed auctions, or impulsive moves, as liquidity builds and positioning becomes crowded.
The indicator is not directional and should be used as a market state filter, not a standalone signal. It helps distinguish balance vs expansion regimes and improves trade selection by aligning strategies with the current microstructural environment.
Institutional Volatility Expansion & Liquidity Thresholds (IVEL)Overview
The IVEL Engine is an institutional-grade volatility modeling tool designed to identify the mathematical boundaries of price delivery. Unlike retail oscillators that use fixed scales, this script utilizes dynamic ATR-based multiples to map Institutional Premium and Discount zones in real-time.
How to Use
To maximize the effectiveness of the IVEL Engine, traders should focus on Price Delivery at the extreme thresholds:
Identifying Institutional Premium (Short Setup) : When price expands into the Upper Red Zone, it has reached a mathematical exhaustion point. Seek short-side entries when price shows signs of rejection from this level back toward the Fair Value Baseline.
Identifying Institutional Discount (Long Setup) : When price reaches the Lower Green Zone, it is considered "cheap" by institutional algorithms. Look for long-side absorption or accumulation patterns within this zone.
Mean Reversion Targets: The Fair Value Baseline (Center Line) acts as the primary magnetic target. Successful trades taken at the outer thresholds should use the baseline as the first objective for profit-taking.
Alerts & Execution Strategy
The IVEL Engine is designed for automated monitoring so you don't have to watch the screen 24/7. To set up your execution workflow:
Set the Alert : Right-click the indicator and select "Add Alert." Set the condition to "Price Crossing Institutional Premium" (Upper Red) or "Price Crossing Institutional Discount" (Lower Green).
Wait for the Hit : Do not market-enter as soon as the alert fires. The alert tells you price has entered a High-Probability Liquidity Zone.
Confirm the Rejection : Once alerted, drop down to a lower timeframe (e.g., 5m or 15m) and look for a "Shift in Market Structure" or an SMT Divergence.
Execute : Enter once the rejection is confirmed, targeting the Fair Value Baseline as your primary TP1.
Methodology
The script anchors to an EMA-based baseline and projects expansion bands that adapt to current market conditions.
Value Area : The blue inner region where the majority of trading volume occurs.
Liquidity Exhaustion : The red and green outer regions where the probability of "Smart Money" reversal is highest.
Trailing Stoploss % BasedA minimalistic trend-following indicator that plots a single trailing line based on a user-defined percentage using price highs and lows.
The line:
Trails price in trends
Moves only in the direction of the trend
Flattens when price is not making new highs or lows
Acts as support in uptrends and resistance in downtrends
Useful on all instruments and all timeframes for clean trend tracking and trailing stop management.
BNF (Kotegawa) Strategy [CB Algos]STRATEGY: BNF (Kotegawa) Mean Reversion Strategy
DEVELOPED BY: CB Algos
DESCRIPTION:
This indicator replicates the trading style of Takashi Kotegawa (BNF).
It calculates the percentage deviation of the price from the 25-period SMA.
HOW TO USE:
1. Look for 'Lime' bars (Extreme Buy) or 'Teal' bars (Moderate Buy). These indicate the price has dropped significantly below the average.
2. Look for 'Red' bars (Extreme Sell) as profit-taking zones.
3. Use the Info Panel to see the exact current deviation %.
STAX# STAX - MapleStax Candle by Candle Automation
## Overview
STAX is a trend-following indicator that automates the "MapleStax Candle by Candle (CBC)" methodology for futures and equity trading. This system uses a higher timeframe anchor trend combined with lower timeframe execution filters to identify high-probability pullback entries in the direction of the prevailing trend.
## How It Works
### 1. Anchor Trend Detection (10-Minute CBC Flip)
The core of this system is the CBC (Candle by Candle) flip logic on the anchor timeframe (default: 10 minutes):
- **Bullish Flip**: Occurs when a 10m candle closes ABOVE the high of the previous 10m candle
- **Bearish Flip**: Occurs when a 10m candle closes BELOW the low of the previous 10m candle
- Once a flip occurs, the trend remains in that direction until an opposite flip happens
The anchor trend is calculated using `request.security()` with `lookahead=barmerge.lookahead_off` and indexed historical data ` ` to ensure non-repainting behavior. This means signals will not change or disappear after they appear.
### 2. Execution Filters (Current Timeframe)
On your current chart timeframe (recommended: 3 minutes), the indicator applies two key filters:
**EMA Confirmation**:
- For LONG signals: 9-period EMA must be greater than 20-period EMA
- For SHORT signals: 9-period EMA must be less than 20-period EMA
**VWAP Filter** (Strict or Target mode):
- **Strict Mode** (default): Only shows signals when price is on the correct side of VWAP
- LONG signals only above VWAP
- SHORT signals only below VWAP
- **Target Mode**: Shows all valid signals but uses VWAP as the take profit target when price is on the "wrong" side
### 3. Entry Signal Logic
The indicator looks for pullback entries:
- **BUY Signal**: 10m trend is Bullish + EMA 9 > 20 + Current 3m candle is RED (close < open)
- Logic: Wait for a red pullback candle in a bullish trend with bullish EMA alignment
- **SELL Signal**: 10m trend is Bearish + EMA 9 < 20 + Current 3m candle is GREEN (close > open)
- Logic: Wait for a green retracement candle in a bearish trend with bearish EMA alignment
This pullback logic helps you enter after a brief counter-trend move, improving risk/reward compared to chasing breakouts.
### 4. Risk Management
**Stop Loss**: Automatically set at the previous 10-minute candle's low (for longs) or high (for shorts). This represents the last swing point that would invalidate the trend structure.
**Take Profit**:
- When aligned with VWAP: Fixed tick-based target (default: 20 ticks, adjustable)
- When counter to VWAP: Target is VWAP itself, providing a logical profit target
The indicator displays TP and SL levels visually and alerts when they are hit.
### 5. Signal Management
To prevent over-trading, the indicator includes a **cooldown period** (default: 10 bars minimum between signals). This stops signal spam in choppy conditions and forces you to wait for the market to develop before taking another trade.
### 6. Time Session Filters
Two separate trading sessions can be configured with 12-hour clock inputs:
- **Session 1**: Default 9:30 AM - 4:00 PM (New York regular hours)
- **Session 2**: Optional second session for extended hours or different time zones
Signals only appear during enabled sessions, helping you trade during liquid market hours.
## What Makes This Original
This indicator automates a specific methodology (MapleStax CBC) that combines multiple proven concepts:
1. Higher timeframe trend structure (CBC flip logic)
2. Lower timeframe execution timing (EMA filters)
3. Pullback entry strategy (counter-colored candles)
4. Volume-based target selection (VWAP integration)
5. Swing-based stop placement (previous anchor swing points)
The combination of these elements into an automated system with visual feedback and alert functionality is what provides value beyond using these indicators separately.
## How to Use
1. **Choose Your Timeframes**:
- Anchor timeframe: 10 minutes (adjustable) for trend direction
- Execution timeframe: 3-5 minutes recommended for entries
2. **Select VWAP Mode**:
- **Strict Mode**: More conservative, only trades with VWAP bias
- **Target Mode**: More aggressive, uses VWAP as profit target
3. **Configure Sessions**: Enable Session 1 and optionally Session 2 to match your trading hours
4. **Set Risk Parameters**: Adjust take profit ticks based on your instrument and risk tolerance
5. **Watch for Signals**:
- Green "BUY" label below bars = Long entry
- Red "SELL" label above bars = Short entry
- Dashed red line = Stop loss level
- Green "TP ✓" or Red "SL ✗" labels show exit points
6. **Monitor the Status Table**: The table in the top-right shows:
- Current 10m trend direction
- EMA alignment status
- VWAP position
- Active session status
- Current signal state
- Active trade information
7. **Set Alerts**: Use TradingView's alert system with the built-in alert conditions:
- BUY Signal
- SELL Signal
- Take Profit Hit
- Stop Loss Hit
## Best Practices
- **Recommended Timeframes**: 3m execution chart with 10m anchor works well for active trading
- **Instrument Selection**: Works best on liquid futures contracts (ES, NQ, CL, etc.) and major forex pairs
- **Session Trading**: Enable Session 1 for New York hours; avoid low-volume periods
- **Backtest First**: Always backtest the settings on your specific instrument before live trading
- **Use Realistic Parameters**: Default 20-tick TP is conservative; adjust based on instrument volatility
## Limitations and Warnings
**This indicator does NOT**:
- Guarantee profitable trades (past performance does not indicate future results)
- Account for slippage, commissions, or real-world execution challenges
- Work equally well in all market conditions (performs poorly in low-volume, range-bound markets)
- Replace proper risk management and position sizing
- Provide financial advice
**Repainting**: This indicator is designed to be non-repainting. Signals use indexed historical data from the anchor timeframe, meaning they will not change or disappear after they appear. However, the current bar's status will update in real-time until it closes.
**Market Conditions**: This trend-following pullback system performs best in trending markets with clear directional bias. In choppy, range-bound conditions, expect more false signals despite the cooldown filter.
**Stop Loss Execution**: The stop loss levels shown are theoretical. In fast-moving markets, actual fills may occur at worse prices due to slippage.
## Input Parameters
**Anchor Settings**:
- Anchor Timeframe: Higher timeframe for trend detection (default: 10 minutes)
**EMA Settings**:
- Fast EMA: Short-period EMA for execution bias (default: 9)
- Slow EMA: Long-period EMA for execution bias (default: 20)
**VWAP Settings**:
- Strict VWAP Filter: Toggle between strict filtering and target mode
**Signal Management**:
- Min Bars Between Signals: Cooldown period to prevent spam (default: 10 bars)
**Time Filters**:
- Session 1 & 2: Configure up to two trading sessions with start/end times in 12-hour format
**Risk Management**:
- Take Profit (Ticks): Fixed tick target when aligned with VWAP (default: 20)
**Visual Settings**:
- Show Trend Background: Background color based on 10m trend
- Show Stop Loss Lines: Display SL levels on chart
- Show EMAs: Display 9/20 EMAs on chart
- Show VWAP: Display daily VWAP on chart
## Technical Notes
- Uses Pine Script v5
- Non-repainting implementation via `request.security()` with `lookahead_off` and indexed data
- Suitable for alerts and automated trading integration
- Maximum 50 labels and 50 lines to maintain performance
- Status table updates on each bar close
## Credits
This indicator automates the MapleStax Candle by Candle methodology. The CBC flip logic and pullback entry concept are part of the MapleStax trading education system.
---
**Disclaimer**: This indicator is for educational and informational purposes only. It is not financial advice. Trading futures, forex, and equities carries substantial risk of loss. Past performance is not indicative of future results. Always trade with risk capital you can afford to lose and use proper position sizing.
ATR Stop LinesATR Stop Lines
Plots dynamic stop-loss levels on the price chart based on ATR (Average True Range). Optionally adjusts stop distance based on volatility regime.
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🎯 WHAT IT DOES
Green line — Long stop (Close − ATR × multiplier)
Red line — Short stop (Close + ATR × multiplier)
Lines move with price and volatility. When regime-adjust is enabled, stop distance widens in high volatility and tightens in low volatility.
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📐 REGIME-ADJUSTED MULTIPLIERS
When enabled, the multiplier auto-adjusts based on the ATR percentile:
LOW (< 25th pctl) — 1.0× ATR — Tight stops, small moves expected
NORMAL (25–50th pctl) — 1.5× ATR — Standard distance
HIGH (50–75th pctl) — 2.0× ATR — Wider to avoid noise
EXTREME (> 75th pctl) — 2.5× ATR — Widest, or skip the trade
Disable regime-adjust to use a fixed multiplier for all conditions.
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📈 HOW TO USE
Entry: Note stop line level when entering a trade. Set stop-loss at or beyond that level.
Trailing: Move stop to new line level as price advances in your favor.
Sizing: Wider stop = smaller position to maintain constant risk.
Example:
BTC Daily, ATR = \$2,000, Regime = HIGH (2.0×)
Entry: \$50,000 → Long stop: \$46,000 / Short stop: \$54,000
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📊 STATUS LABEL
VOL — Current regime (LOW / NORMAL / HIGH / EXTREME)
ATR — Raw ATR value in price units
Mult — Active multiplier
Stop Dist — Current stop distance in price units
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⚙️ SETTINGS
ATR Settings:
ATR Length (default: 14)
Percentile Lookback (default: 100)
Timeframe:
Use Fixed Timeframe — Lock to specific TF
Fixed Timeframe (default: D)
Stop Settings:
Regime-Adjusted Multiplier — Toggle auto-adjust on/off
Base ATR Multiplier — Used when regime-adjust is off
LOW/NORMAL/HIGH/EXTREME Multipliers — Customize per regime
Display:
Show Long Stop / Show Short Stop
Show Status Label
Long/Short Stop Colors
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🔔 ALERTS
Vol → EXTREME
Vol → LOW
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💡 COMPANION INDICATOR
Use with ATR Volatility Regime (separate pane) for full context:
Pane indicator → percentile visualization, zone backgrounds
This indicator → actionable stop levels on price chart
Both use identical ATR/percentile logic and stay in sync.
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📝 NOTES
Works on any timeframe
Stops are dynamic — recalculate each bar
Not a signal generator — use with your own entry logic
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🏷️ TAGS
ATR, stop-loss, volatility, risk-management, position-sizing, trailing-stop, swing-trading
ATR Volatility RegimeATR Volatility Regime
A volatility classification indicator that uses ATR (Average True Range) percentile ranking to identify LOW , NORMAL , HIGH , or EXTREME volatility conditions.
Displayed as a separate pane oscillator (0–100 scale) with colored zones.
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💡 WHY THIS INDICATOR?
Most volatility indicators show raw ATR — a number without context. Is ATR = 50 high or low? Depends on the asset and recent history.
This indicator answers: "Is current volatility high or low for THIS asset, right now?"
What it adds over standard ATR:
Percentile context — Compares current ATR to its own history
Regime classification — Actionable labels instead of raw numbers
Visual zones — Instant read without interpretation
Optional MTF — Lock to a fixed timeframe while viewing another
Auto-adapts — Works on any asset without manual threshold tuning
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📐 CORE CONCEPTS
ATR (Average True Range)
Measures volatility in price units — how much an asset typically moves per bar. Directionless (magnitude only, not direction).
Calculation:
True Range = the greatest of:
High − Low (current bar's range)
|High − Previous Close| (gap up captured)
|Low − Previous Close| (gap down captured)
ATR = Moving average of True Range over N bars (default: 14)
Percentile Rank (Pctl)
Answers: "What percentage of historical values is the current value greater than?"
Pctl = 0% → Lowest ATR in lookback period (extreme compression)
Pctl = 50% → Median ATR (typical volatility)
Pctl = 100% → Highest ATR in lookback period (extreme expansion)
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🎯 WHAT IT DOES
Classifies current volatility into four regimes:
LOW (< 25th percentile) — Compression, breakout likely brewing
NORMAL (25th–50th percentile) — Typical market conditions
HIGH (50th–75th percentile) — Elevated volatility, use caution
EXTREME (> 75th percentile) — Rare expansion, tighten stops or stay flat
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📊 DISPLAY COMPONENTS
Oscillator Line (0–100)
ATR percentile rank over time. Color matches regime:
Blue = LOW
Gray = NORMAL
Orange = HIGH
Red = EXTREME
Zone Backgrounds
Colored bands at threshold levels for instant visual reference.
Status Label
VOL — Current regime
ATR — Raw ATR value (for stop sizing)
Pctl — Percentile rank (0–100%)
TF — Active timeframe (chart or fixed)
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📈 HOW TO USE
LOW Volatility (Pctl < 25%):
Market compressed — "calm before the storm"
Watch for breakout setups
Pctl = 0% often precedes significant moves
NORMAL Volatility (Pctl 25–50%):
Typical conditions
Standard position sizing and stops
HIGH Volatility (Pctl 50–75%):
Elevated movement — reduce size
Widen stops to avoid noise
EXTREME Volatility (Pctl > 75%):
Rare, intense conditions
Avoid new entries or tighten risk
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⚙️ SETTINGS
ATR Settings:
ATR Length (default: 14) — Period for ATR calculation
Percentile Lookback (default: 100) — Bars for percentile ranking
Timeframe:
Use Fixed Timeframe (default: off) — Lock calculation to specific TF
Fixed Timeframe (default: D) — TF to use when fixed mode enabled
Thresholds:
Low Threshold (default: 25)
High Threshold (default: 50)
Extreme Threshold (default: 75)
Display:
Show Zone Background — Toggle colored fills
Show Status Label — Toggle info label
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📋 SUGGESTED LOOKBACK BY ASSET
Crypto — 100 bars (fast regime shifts)
Stocks — 252 bars (one trading year)
Forex — 100–150 bars
Commodities — 150–200 bars (seasonal patterns)
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🔔 ALERTS
Vol → EXTREME
Vol → HIGH
Vol → LOW
Vol exits HIGH
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💡 PRACTICAL APPLICATIONS
Stop-Loss Sizing:
Use raw ATR for stops. Example: Stop = Entry − (1.5 × ATR)
Position Sizing:
Reduce size when percentile is HIGH or EXTREME.
Entry Filtering:
LOW regime = prepare for breakout
EXTREME regime = avoid new entries
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📝 NOTES
Works on any timeframe — adapts to chart or locks to fixed TF
ATR is non-directional — magnitude only
Percentile auto-adapts to each asset's volatility profile
Not a standalone signal — combine with trend/regime filters
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🏷️ TAGS
volatility, ATR, average-true-range, percentile, regime, risk-management, position-sizing, swing-trading, MTF
Cloud Donchian + Keltner + Bollinger**XAUUSD M1 - Upper, Middle & Lower Combination Clouds**
This indicator combines three widely used volatility channels — Donchian, Keltner, and Bollinger Bands — into a single, clear cloud overlay optimized for the XAUUSD 1-minute chart.
**What it does:**
- Calculates upper, middle, and lower volatility zones by combining the three channels.
- The **Upper Cloud** shows the potential upper price boundary based on the highest highs of the combined indicators.
- The **Lower Cloud** shows the potential lower price boundary from the lowest lows of the combined indicators.
- The **Middle Cloud** fills the area between the upper cloud’s bottom and lower cloud’s top, colored dynamically: green for rising trends and red for falling trends.
- Visible lines highlight the upper and lower cloud boundaries for precise reference.
**Why it’s useful:**
- Helps traders identify support and resistance zones based on multiple volatility measures.
- The dynamic middle cloud coloring provides intuitive visual cues on trend direction and strength.
- Designed specifically for scalpers and short-term traders focused on fast-moving gold markets (XAUUSD, 1-minute timeframe).
- Fully customizable input parameters allow users to adjust channel lengths and sensitivities to fit their trading style.
**Inputs:**
- Donchian channel length
- Keltner channel EMA length and ATR multiplier
- Bollinger Bands length and multiplier
- Customizable cloud colors and line colors
**Usage notes:**
- This is a tool to support decision-making — it should be used in conjunction with other analysis techniques.
- It does not provide explicit buy or sell signals but highlights key volatility zones and trend shifts.
- Performance depends on market conditions; backtest results do not guarantee future outcomes.
- The indicator is open-source and configurable to fit individual preferences.
**Important:**
- No guaranteed profits — trade responsibly.
- Always combine this tool with sound risk management.
