Accelerated SuperTrend SAR [Horazio]Accelerated SuperTrend SAR (AST-SAR)
Overview
Accelerated SuperTrend SAR (AST-SAR) is a trend-following overlay indicator that combines the structural stability of a SuperTrend framework with the adaptive behavior of a Parabolic SAR.
Its goal is to provide a smooth, visually intuitive representation of trend direction, trend maturity, and dynamic support/resistance behavior directly on the price chart.
Notes
No future data usage
No repainting
Works across instruments and timeframes
Designed as a trend structure visualization tool, not a trading system
Concept & Architecture
AST-SAR is built around a hybrid fusion model:
SuperTrend defines the primary trend direction and baseline structure.
Parabolic SAR contributes progressive acceleration as the trend matures.
A blending engine gradually transitions from SuperTrend dominance to SAR influence based on trend age.
This approach allows early trend phases to remain stable while later phases become more responsive.
Trend Maturity & Adaptive Blending
The indicator tracks how long the current trend has remained active (“trend maturity”).
As maturity increases, the hybrid line progressively incorporates more SAR behavior.
Two blending modes are available:
Adaptive blending: smooth, proportional transition.
Discrete blending: full acceleration only after a defined maturity threshold.
This design helps distinguish early trend development from extended trend continuation.
Visual Structure
Hybrid Stop Line
A single adaptive line that evolves with trend conditions and acts as a visual reference for market structure.
Directional Coloring
The hybrid line and bars are color-coded based on trend direction to improve clarity in fast-moving markets.
Bar Shading
Subtle bar coloring reflects price position relative to the hybrid line, aiding contextual awareness without obscuring price action.
Annotations & Visual Markers
Optional on-chart annotations highlight notable structural events:
Direction flips when the underlying trend state changes.
Defense markers when price tests and respects the hybrid line intrabar.
These elements are intended as visual cues only, helping users observe market behavior rather than generating standalone decisions.
A configurable cooldown prevents visual clutter in choppy conditions.
ATR
Volatility Visualizer Percentiles (VIXFix, ATR, VIX)Summary
A volatility regime dashboard for liquid instruments that converts three volatility lenses into 0 to 100 percentile ranks versus the last 252 closed daily bars. It is built to answer one question: is volatility unusually low or unusually high relative to the last year . Use it to adjust position sizing, stop width, and trade selectivity. It is not a directional signal.
Scope and intent
Markets : US indices and index ETFs, index futures, large cap equities, liquid crypto proxies, and other symbols where daily volatility regimes matter
Timeframes : best on Daily. It can be applied on other chart timeframes, but the reference window remains 252 closed daily bars
Default demo : SPX on Daily
Purpose : provide a simple, testable volatility context layer that you can plug into any daily system as a risk filter or risk scaler
What makes it original and useful
Most “volatility tools” show raw ATR or a single volatility index. This script standardizes three distinct sources into the same unit (percentile), so you can compare them and combine them without guessing thresholds.
Unique fusion : internal realized volatility (ATR%), internal stress proxy (VIXFix), and external implied volatility (input VIX symbol) expressed in the same 0 to 100 scale
Practical outcome : the table gives a regime read and an action posture, so the output is directly usable for risk decisions
Testable : all components are visible and thresholdable; you can backtest rules like “only trade when composite is between 30 and 75”
Portable : percentiles remove the need to hardcode market specific “ATR is high” numbers across different symbols
Method overview in plain language
Base measures
VIXFix : a price based fear proxy derived from the instrument’s own daily behavior (using the relationship between recent high closes and current lows)
ATR% : daily ATR normalized by daily close, expressed as a percentage for cross symbol comparability
External VIX : a user selected volatility index or proxy pulled via input symbol (default CBOE:VIX)
Normalization to percentiles
For each metric, the script stores the last 252 closed daily values
It then computes where the most recent closed daily value sits inside that history as a percentile from 0 to 100
Tie handling is configurable (Midrank, StrictLess, LessOrEqual) to define how repeated values are ranked
Fusion rule
Composite percentile is the simple average of the available percentiles (VIXFix, ATR%, VIX)
If one component is missing (for example the external symbol is unavailable), the composite averages the remaining components
How to use it on Daily
This tool is most effective as a risk regime layer on top of an existing strategy. Use the Composite row as the primary dial, and the individual components as confirmation.
Recommended operating zones
0–20 Very Low : quiet regime. Tight stops often survive, but breakouts can underperform. Favor mean reversion or require stronger breakout confirmation.
20–40 Low : constructive for many systems. Use baseline sizing and baseline stops.
40–60 Mid : neutral. Run your base playbook.
60–80 High : volatility expansion. Reduce size and widen stops, or trade only higher quality setups.
80–100 Very High : stress regime. Smallest size, widest stops, and skip marginal setups. Gap risk and slippage risk are higher.
How to interpret disagreements
If ATR% is high but VIX is mid , realized vol is elevated but the market is not pricing extreme fear. Treat as a caution zone, not panic.
If VIX is high but ATR% is mid , implied vol is elevated ahead of potential events. Expect expansion risk even if realized vol has not moved yet.
If all three are high , treat it as a full stress regime and enforce strict risk limits.
What you will see on the chart
A compact table with one row per metric and optional composite
For each row: last closed daily value, 252D percentile, a progress bar, and an action posture
Optional stats: min, median, max for the 252D window (useful for sanity checks, adds CPU)
Table fields quick guide
Last closed daily : the value used for ranking, taken from the last fully closed daily bar
252D percentile : where the current reading ranks versus the last 252 closed daily readings
Bar : quick visual map of percentile from 0 to 100
Action : risk posture suggestion tied to the percentile bucket
Inputs with guidance
Core
Window (closed daily bars) : default 252. Higher values make the regime slower and more structural. Lower values make it more reactive.
VIX
VIX symbol : default CBOE:VIX. You can replace it with another implied volatility proxy appropriate for your market.
VIXFix
VIXFix lookback : typical range 21/22. Smaller reacts faster, larger smooths regimes.
ATR
ATR length : typical range 10–21 on Daily
ATR as % of close : recommended on for comparability across symbols and long history
UI
Show composite volatility score : recommended on. Best single dial.
Show action guide : recommended on if you want direct posture cues.
Show min, median, max : optional. Useful for diagnostics, higher CPU.
Table position : place it where it does not cover price.
Usage recipes
Daily trend following overlay
Trade your trend system normally when Composite is between 25 and 75
If Composite is above 75, reduce size and widen stops, and require stronger trend confirmation
Daily mean reversion overlay
Focus on Composite below 40
Avoid Composite above 80 where gaps and cascading moves reduce mean reversion reliability
Daily risk parity style scaling
Use Composite percentile as a coarse risk throttle: higher percentile equals lower exposure
Example posture: 0–40 normal exposure, 40–80 reduced exposure, above 80 minimal exposure
Alerts
This script is intentionally a dashboard and does not emit buy or sell signals. If you want alerts, create them from percentile thresholds in your own fork. For conservative workflows, trigger alerts on bar close.
// Example alert conditions (add to your fork if desired)
high_vol = comp_pct > 80
low_vol = comp_pct < 20
Honest limitations and failure modes
This is not a directional predictor. Volatility can rise in both bull and bear markets.
Percentiles are relative to the last 252 closed daily bars. A “high percentile” is high versus recent history, not an absolute guarantee of future movement.
Implied volatility (VIX) can move ahead of realized volatility (ATR%). Treat divergence as information, not a signal.
Very high volatility regimes can include gap risk and slippage risk that are not visible in indicator values alone.
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use.
Step Generalized Moving Average [BackQuant]Step Generalized Moving Average
Overview
Step Generalized Moving Average (StepGMA) is a trend-structure moving average designed to solve two common problems with classic MAs:
They overreact to noise in chop, causing constant micro-flips.
They lag too much when you smooth them enough to stop that noise.
StepGMA tackles this by combining two layers:
A Generalized Moving Average (GMA) that increases responsiveness without simply shortening length.
A Step Filter that converts the MA into discrete “steps” sized by ATR, suppressing insignificant movement and only updating when the move is meaningful.
The output is a trend line that behaves more like market structure: it holds its level through noise, then “reprices” in chunks when volatility-adjusted movement is large enough.
What the indicator is trying to represent
Instead of showing every tiny MA wiggle, StepGMA tries to represent the idea that:
Most price movement is noise relative to volatility.
Trend only matters when it advances by a meaningful amount.
A good trend line should stay stable until the market forces it to move.
That makes this indicator useful as:
A regime filter (trend vs chop).
A trend-following bias line.
A structure-like dynamic S/R reference.
A signal generator with fewer low-quality flips.
Component 1: Moving Average engine (selectable)
The base smoothing is not fixed. You can choose between multiple MA types:
SMA, EMA, WMA, VWMA: classic smoothing families.
DEMA, TEMA: reduced-lag EMA variants.
T3: smooth yet responsive, good for trend.
HMA: very low lag, can be twitchy without filtering.
ALMA: center-weighted smoothing, often “cleaner” visually.
KAMA: adaptive smoothing based on efficiency ratio, good in mixed regimes.
LSMA: regression-based, tends to track trend direction well.
McGinley: dynamic smoothing designed to reduce lag during fast moves.
This matters because the StepGMA is not “one MA.” It is a framework that lets you pick the underlying smoothing behavior, then applies the generalization and step logic on top.
Component 2: Generalized Moving Average (GMA)
Where the idea comes from
Generalized MA here is essentially a form of two-stage smoothing compensation . A common trick in signal processing and technical analysis is:
Apply a smoother once (MA1).
Apply it again (MA2).
Use MA2 as a “lag reference,” then combine MA1 and MA2 to reduce lag while keeping smoothness.
This is related in spirit to reduced-lag filters (like DEMA/TEMA) and “zero-lag” style constructions that subtract part of the lag component. You are not magically removing lag, you are biasing the output toward the first-pass MA while subtracting some of the second-pass smoothing that represents delayed response.
How this script does it
It computes:
ma1 = MA(src, len)
ma2 = MA(ma1, len)
Then combines them using a volume factor (vf):
generalized = ma1 * (1 + vf) - ma2 * vf
Interpretation:
ma2 is a “more delayed” version of ma1.
Subtracting vf * ma2 and adding (1+vf) * ma1 pushes the output toward responsiveness.
vf controls how aggressive that push is.
Volume Factor (vf) is really an aggressiveness knob
The script clamps vf between 0.01 and 1.0 to keep it stable. Conceptually:
Low vf: behaves closer to a normal MA1, smoother, more lag.
High vf: more compensation, faster response, more risk of overshoot or noise sensitivity (which is then handled by the step filter).
So the GMA stage tries to give you a cleaner, faster trend estimate without just shrinking the MA period.
Component 3: Step Filter (the key behavior)
What a step filter is
A step filter turns a continuous signal (here, the generalized MA) into a discrete “staircase” signal. Instead of updating every bar, it updates only when the input has moved far enough to justify a new step.
This is conceptually similar to:
A quantizer in signal processing (rounding changes to discrete increments).
A volatility threshold filter (ignore changes smaller than X).
Market structure logic where levels matter more than micro movement.
How it works in this script
The filter maintains a persistent value: stepped .
Each bar:
diff = src - stepped
If |diff| < stepSize, do nothing (hold the level).
If |diff| >= stepSize, move stepped by a number of step increments.
The step increment size is:
stepSize = (stepMult / 100) * ATR(atrPeriod)
This is critical:
In higher volatility, ATR is larger, so steps are larger, fewer updates, more stability.
In lower volatility, ATR is smaller, so steps are smaller, more updates, more sensitivity.
So the step behavior automatically adapts to volatility.
Multiple-step catching behavior
If price jumps far beyond one step, the script does not move only one step. It moves by:
floor(|diff| / stepSize) * stepSize
So it “catches up” in discrete blocks, preserving the stepped character without lagging massively after large moves.
Direction and regime
Direction is determined by the stepped line, not the raw MA:
direction = +1 if steppedMA is rising
direction = -1 if steppedMA is falling
otherwise direction stays the same
Signals only trigger on direction state changes:
Long when direction flips to +1
Short when direction flips to -1
This matters because it prevents repeated signals while the trend remains intact. You only get a signal when the market has moved enough (in ATR terms) to justify a structural step in the opposite direction.
Secondary line and gradient fill
The script also plots a secondary “slow MA” (length 25, same MA type). This is not the core logic, it is a visual context layer:
StepGMA is the structure line (discrete, regime-driven).
Slow MA is a smoother reference for the underlying drift.
The gradient fill highlights separation and dominance.
When StepGMA sits above the slow MA, the fill reinforces bullish bias. When below, it reinforces bearish bias. It is basically a “trend pressure” visual, not a separate signal.
How to interpret it
1) StepGMA as trend structure
Flat steps mean price is not making enough volatility-adjusted progress to move structure.
Up-steps mean the market has advanced enough to reprice the trend line upward.
Down-steps mean deterioration significant enough to reprice structure downward.
2) Direction is a regime, not a tick-by-tick call
Because direction is derived from step changes, it is naturally a regime filter:
Fewer flips in chop.
Clearer regime transitions.
Signals tend to occur later than ultra-fast tools, but with better confirmation quality.
3) Step size controls noise rejection
StepMult is the main “anti-chop” control:
Higher stepMult = bigger ATR steps = fewer updates, fewer signals, more confirmation, slower to react.
Lower stepMult = smaller steps = more updates, more signals, more sensitivity, more chop risk.
4) Generalization controls responsiveness of the underlying trend estimate
vf controls how “fast” the MA tries to be before stepping:
Higher vf makes the MA respond faster to new price information.
Lower vf makes the MA smoother and more conservative.
The step filter then decides whether that change is meaningful enough to matter.
Practical use cases
Trend filter for entries
Only take longs when direction is bullish.
Only take shorts when direction is bearish.
Avoid trades when StepGMA is flat for long periods, market is not repricing meaningfully.
Dynamic support and resistance
Because the line holds levels, it often behaves like structure:
In uptrends it can act as a rising support reference.
In downtrends it can act as falling resistance.
Signal quality layer
The step-based flip signals tend to be higher quality than basic MA crossovers because they require:
A meaningful volatility-adjusted move.
A confirmed direction change in the stepped trend structure.
Trade management
Use StepGMA as a trailing invalidation reference.
Use direction flips as “hard” regime exits.
Use separation vs slow MA as a “pressure” gauge for scaling decisions.
Tuning guidelines
MA Type
Pick based on the character you want:
T3, ALMA, KAMA are usually good defaults for clean trend representation.
HMA/LSMA are faster but may need larger stepMult to avoid twitch.
SMA is slow and stable but can be too laggy unless vf is increased.
MA Period
Sets the base smoothing horizon. Longer periods give “macro trend,” shorter periods give “tactical trend.”
Volume Factor (vf)
Sets responsiveness compensation:
0.05–0.25 is usually sensible.
Higher than that can get aggressive, step filter will save you, but your steps may fire more often.
ATR Period and StepMult
These define your structure sensitivity:
ATR Period controls how stable the volatility estimate is.
StepMult controls how large a move must be to change structure.
If you want fewer flips, increase StepMult or ATR Period. If you want quicker reaction, lower StepMult or ATR Period.
What this indicator is and is not
It is:
A trend structure MA that ignores sub-threshold noise.
A regime tool that uses volatility-adjusted repricing logic.
A configurable framework that works across assets and timeframes.
It is not:
A predictive reversal tool.
A scalping signal machine.
A replacement for risk management.
Summary
Step Generalized Moving Average combines a lag-compensated moving average (generalization via MA1/MA2 blending) with a volatility-scaled step filter (ATR-based quantization). The result is a stable, structure-like trend line that updates only when price movement is meaningful relative to volatility, producing cleaner regimes, fewer chop flips, and clearer trend bias than conventional moving averages.
Adaptive ATR Trend FollowerDESCRIPTION:
A practical educational tool for learning volatility-based trend following. This indicator demonstrates how to use ATR-adjusted trailing stops to adapt to changing market conditions. It shows traders how to dynamically adjust stop distances based on market volatility rather than using fixed price levels.
WHAT MAKES IT UNIQUE:
• Three preset trading modes (Fast/Balanced/Smooth) optimized for different market environments
• ATR-based dynamic stops that automatically widen during high volatility and tighten during calm periods
• Clear visual trend zones with adjustable transparency for better chart readability
• Educational focus on risk management concepts and adaptive position sizing
• Signal markers that highlight exact trend change points for precise analysis
HOW IT WORKS:
1. Calculates Average True Range (ATR) to measure current market volatility
2. Creates dynamic trailing stops using: Current Price ± (ATR × Multiplier)
3. Automatically switches trend direction when price crosses the trailing stop level
4. Provides continuous visual feedback through colored zones, signal markers, and bar coloring
5. Updates stop levels in real-time as market conditions change
EDUCATIONAL VALUE:
This indicator serves as a learning tool for understanding:
- How to use ATR for dynamic position and risk management
- The importance of adapting trading systems to current volatility conditions
- Trend-following principles with immediate visual feedback
- Risk management techniques through adaptive stop placement
- The relationship between volatility and optimal stop distances
SETTINGS EXPLAINED:
• ATR Period (14): The lookback period for volatility measurement. Higher values give smoother readings.
• ATR Multiplier (3.0): Determines stop distance from price. Higher = wider stops, Lower = tighter stops.
• Trading Style: Fast (tight stops for active trading), Balanced (default settings), Smooth (wide stops for volatile markets)
• Price Smoothing (1): EMA period applied to price. Reduces noise for cleaner trend detection.
• Trend Fill Transparency (80%): Controls visibility of the colored trend zone between price and stop line.
RISK WARNING & DISCLAIMER:
This is an educational trend-following tool designed for learning purposes. Important considerations:
• May produce whipsaw signals during sideways/consolidating markets
• Works best in clearly trending market environments
• Always combine with other analysis techniques for confirmation
• Practice proper risk management - never risk more than you can afford to lose
• Past performance does not guarantee future results
• This is NOT financial advice. Use at your own risk and discretion.
USE CASES:
- Learning about volatility-based trading systems and concepts
- Identifying potential trend direction changes with visual confirmation
- Setting adaptive stop-loss levels that adjust to market conditions
- Educational tool for understanding how ATR affects position management
- Visual study of how volatility impacts trend-following strategies
COMPATIBILITY:
• Works on all markets: Forex, Stocks, Crypto, Commodities, Indices
• Effective on multiple timeframes (5-minute to daily charts recommended)
• Compatible with other indicators for multi-factor analysis
INSTALLATION & USAGE:
1. Add indicator to your chart
2. Start with "Balanced" mode for most markets
3. Adjust ATR multiplier based on your risk tolerance
4. Use signals as potential entry/exit points (with confirmation)
5. Observe how stops adapt to changing volatility conditions
EDUCATIONAL TIP:
Try switching between Fast/Balanced/Smooth modes to see how different settings perform in various market conditions. Notice how wider stops (Smooth mode) can prevent premature exits during volatile trends, while tighter stops (Fast mode) may work better in calm, steady trends.
STRAT PANEL HTF (D/W/M/Q/Y) and ATRUse on Daily / Weekly / Monthly charts.
Higher-timeframe STRAT continuity for: D / W / M / Q / Y (Extended session toggle in settings).
Columns: STRAT (last 3 closed), LAST (last closed type), CUR (current type: Live/Stable), DIR, REV.
Includes ATR context: D / W / M / 12M + optional ATR-based estimated moves.
ATR% Table BoxATR Label Box.
What this does
Shows a live ATR% box
Turns green if ATR% ≤ 5%
Turns red if ATR% > 5%
Updates only on the last bar (no clutter)
ATR/Structure Trail Stop Loss This indicator is a high-performance trend-following tool designed to help traders stay in winning positions for maximum "R" gains. It solves the common problem of getting stopped out too early by combining Volatility (ATR) with Market Structure (Price Action Swings).
How it Works
The script calculates two different stop-loss levels and automatically chooses the most "conservative" one to protect your capital:
ATR Stop: Measures the current market volatility. If the market gets wild, the stop widens. If the market gets calm, the stop tightens.
Structure Stop: Looks at the lowest lows (for Longs) or highest highs (for Shorts) of the last few candles. This ensures you don't stay in a trade if the actual price trend breaks.
Key Features
Hybrid Logic: The stop strictly follows Closing Prices to prevent "wick-outs" from temporary spikes.
Trend Dashboard: A real-time table tracks ADX (Trend Power).
"RUN IT": High momentum; keep trailing for 12R–30R targets.
"TIGHTEN": Momentum is dying; consider locking in profits.
Visual Diamonds: Uses a Step-Line style with diamonds to show exactly when your stop-loss "locks in" a new level.
How to Use It (Step-by-Step)
Entry: Enter your trade based on your standard breakout strategy.
Initial Risk: Use the Initial Stop (5 points) until the price moves in your favor.
The Trail: Once the trend establishes, follow the Light White Diamonds.
Scaling: Use the ATR Multiplier input to adjust the "breathing room."
Lower Multiplier (e.g., 1.5): Tighter trail, good for scalp targets.
Higher Multiplier (e.g., 2.5+): Wider trail, best for catching 30R monster moves.
Exit: Close the position immediately when a candle closes on the opposite side of the diamonds.
Adaptive MA SuperTrendAdaptive MA SuperTrend
Adaptive MA SuperTrend is a trend-following overlay indicator designed to deliver smoother and more responsive signals than the classical SuperTrend by dynamically combining two moving averages with volatility-based band calculations.
Instead of relying on a single average, the script calculates a selectable pair of moving averages and continuously assigns them as the upper or lower base depending on which value is greater at each bar. This adaptive swapping allows the structure to respond better to changing market conditions while preserving overall trend stability.
A volatility component is then added to the bases using either:
• Average True Range (ATR)
• Standard Deviation (SD)
The selected volatility measure is multiplied by a configurable factor to create adaptive bands around the moving-average bases. Price crossing these bands determines trend direction changes.
When price crosses above the upper band, the trend switches bullish and the lower band becomes the trailing support line. When price crosses below the lower band, the trend switches bearish and the upper band becomes the trailing resistance line. Only the active trend side is plotted to reduce visual noise and improve chart clarity.
Multiple moving-average pair options are provided, allowing users to choose combinations that match their preferred balance between smoothness and responsiveness, including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and ALMA-based combinations. Additional parameters are available when ALMA is selected.
⚙️ Key Features
• Adaptive swapping between two moving averages
• Choice of MA pairs with different responsiveness profiles
• ATR or Standard Deviation volatility bands
• Configurable volatility length and multiplier
• Optional ALMA tuning parameters
• Trend visualization with color-coded support/resistance lines
• Signal markers displayed on trend transitions
🧩 Inputs Overview
• Moving average pair selection
• Moving average length and price source
• Volatility method, length, and multiplier
• Optional ALMA offset and sigma parameters
📌 Usage Notes
• Designed to help visualize prevailing trend direction and potential trend shifts.
• Can be combined with confirmation tools or risk management rules within broader strategies.
• Signals are generated when price crosses volatility-adjusted moving-average bands; signals may update intrabar, especially on lower timeframes.
• This script is intended for analytical purposes and does not constitute financial advice. Users should test and validate performance within their own workflow before applying it to live trading.
ATR with History (Red/Yellow Style)Gives you last 20 candles ATR (Red Line) , and averages the last 2 weeks' ATR at your current time (Yellow Line)
ATR Levels - Current Candle Open [MTF]a further improvement from the first version of the script. My intent is to look at 4H ATR levels meanwhile being on 5m or 1m.
Let me know if you have any questions or any suggestions to improve.
Multi-Timeframe Support
Anchor to any timeframe (e.g., 240 for 4H, D for Daily)
Leave blank to use chart's timeframe
ATR Levels
24 configurable levels (0.5 - 12.0 ATR)
4 groups for easy management
Bull color (default: teal) / Bear color (default: orange)
Adjustable line width
Optional level labels
Levels start at current HTF candle open, extend right
Live Extension Display
NOW row shows real-time UP/DN extension in ATR units
Updates as price moves within current HTF candle
Anchor Marker
Line + crosshair at current HTF open
Configurable colors (label bg, text, line)
Adjustable label offset (0-100 bars)
Statistics Table
REACH / REACT / REACT % for levels 0.5-3.0 ATR
Color-coded: green ≥50%, orange 30-50%, red <30%
Position: bottom-right
Size: Normal/Large/Huge
ATR Levels - Previous Candle Open [MTF]a further improvement from the first version of the script. My intent is to look at 4H ATR levels meanwhile being on 5m or 1m.
Let me know if you have any questions or any suggestions to improve
Multi-Timeframe Support
Anchor to any timeframe while viewing on a different chart timeframe
Examples: View 4H ATR levels on 5m chart (set to 240), Daily on 1H (D), etc.
Leave blank to use chart's timeframe
ATR Levels
24 configurable levels from 0.5 to 12.0 ATR (in 0.5 increments)
Organized in 4 groups for easy management
Separate bull/bear colors
Adjustable line width
Optional level labels
Previous Candle Zone
Visual background box showing previous HTF candle's high-low range
Configurable zone color and transparency
Toggle on/off
Extend Levels Setting
0 = Levels end exactly where previous candle closed
-1 = Extend infinitely to the right
1-500 = Extend specific number of bars beyond candle close
Anchor Marker
Horizontal line + vertical crosshair at anchor point
Configurable label background, text color, and line color
Adjustable label offset (0-100 bars)
Line extends to meet the label
Statistics Table
Tracks REACH (times price hit level) and REACT (times price reversed)
REACT % color-coded: green ≥50%, orange 30-50%, red <30%
Based on HTF candle data (100 bars)
Configurable table size (Normal/Large/Huge)
Positioned top-right
ATR Levels - Current Candle Close1 of 3 scripts
I use all 3 together to "tell the story"
specifically designed for NQ to watch 4H timeframe.
code is generated by Claude AI so thats why it is free.
ATR Levels - Current Candle Open1 of 3 scripts
I use all 3 together to "tell the story"
specifically designed for NQ to watch 4H timeframe.
code is generated by Claude AI so thats why it is free.
ATR Levels - Previous Candle Open1 of 3 scripts
I use all 3 together to "tell the story"
specifically designed for NQ to watch 4H timeframe.
code is generated by Claude AI so thats why it is free.
Maor Beniash | Pro DashboardMB-PRO | Smart Info & Risk Dashboard
Description The MB-PRO indicator is a minimalist dashboard designed to provide traders with rapid situational awareness and critical risk management data, without cluttering the chart. This tool consolidates fundamental and technical data into one organized corner, helping avoid common errors such as entering a trade right before an earnings report or incorrect stop-loss calculations.
Key Features:
Full Company Name: Displays the complete name of the entity.
Market Cap: Shows the current market capitalization.
Sector & Industry: Quickly identifies the sector and industry classification.
Risk Management (ATR): Displays the Average True Range (14) in both absolute value and percentage (crucial for stop-loss sizing).
Earnings Alert: A smart warning mechanism where the text automatically turns orange when the report date is approaching (default: 21 days, adjustable). This helps prevent holding positions during high-risk periods.
ATR Value Number Display Only (No line chart)OVERVIEW:
The ATR (Average True Range) Value Display provides a clean, always-visible ATR reading on your chart. This essential volatility indicator helps traders set appropriate stop losses, position sizes, and profit targets based on current market volatility.
KEY FEATURES:
• Real-Time ATR Display: Shows current ATR value in a clean table format
• Customizable Appearance: Fully customizable text and background colors
• Adjustable Period: Standard 14-period default with full customization
• Bottom-Right Positioning: Non-intrusive placement that doesn't obstruct price action
• Tick Precision: Displays ATR value with accurate tick formatting
• Lightweight: Minimal resource usage with maximum clarity
HOW TO USE:
1. Add the indicator to any timeframe chart
2. Adjust ATR Length based on your trading style (14 is standard)
3. Customize colors to match your chart theme
4. Use ATR value to:
- Set stop loss distances (e.g., 1.5x ATR)
- Calculate position sizes based on risk tolerance
- Identify increasing/decreasing volatility trends
- Set realistic profit targets
SETTINGS:
• ATR Length: Calculation period (default: 14)
• Text Color: Customize the ATR text color (default: white)
• Box Color: Customize the background box color (default: semi-transparent blue)
PERFECT FOR:
✓ Position sizing based on volatility
✓ Setting dynamic stop losses that adapt to market conditions
✓ Identifying high/low volatility periods
✓ Comparing volatility across different instruments
✓ Risk management and trade planning
WHAT IS ATR?
Average True Range (ATR) measures market volatility by calculating the average range between high and low prices over a specified period. Higher ATR values indicate higher volatility, while lower values suggest calmer markets.
TIP: Use ATR on multiple timeframes to understand volatility across different trading horizons.
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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Monthly Weekly Daily ATR Calculation A weekly options trading script showing optimal levels using daily and weekly ATR ranges and stop loss. (Open ± ATR)
ATR + STRAT Dashboard (LAST + DIR + REV) + Est MovesATR + STRAT Dashboard is a multi-timeframe market structure indicator built around The Strat and ATR context. It summarizes higher-timeframe control (buyers vs sellers), highlights key Strat conditions (inside/outside/2-1-2 style transitions), and flags common reversal candles (hammer / shooting star style signals) to help spot potential turns. It also includes ATR-based context and estimated move guidance so you can quickly gauge whether price has “room” to run or is extended.
What it shows
MTF Dashboard: quick read of trend/control across multiple timeframes
Direction/Control: color-based bias (buyers vs sellers in charge)
Reversal Flags: highlights reversal-style candles for awareness (not guaranteed)
ATR Context + Estimated Moves: volatility-based framework for targets/expectations
Non-repainting HTF behavior: designed to use closed higher-timeframe bars to reduce repaint surprises
Note: This tool is for structure + context, not trade signals by itself. Always confirm with your plan/risk management.
Volume-Adjusted CCI Trend [Alpha Extract]A sophisticated trend identification system that combines dual EMA direction analysis with volume-weighted normalization and CCI momentum filtering for comprehensive trend validation. Utilizing Volume RSI integration and standard deviation-based bands that expand and contract with volume characteristics, this indicator delivers institutional-grade trend detection with multi-layered confirmation requirements. The system's volume adjustment mechanism modulates signal sensitivity based on participation strength while CCI thresholds prevent false signals during weak momentum conditions, creating a robust trend-following framework with reduced whipsaw susceptibility.
🔶 Advanced Dual EMA Direction Engine
Implements fast and slow exponential moving average comparison to establish primary trend direction bias with configurable period parameters for timeframe optimization. The system calculates trend direction as binary +1 (bullish when fast EMA exceeds slow EMA) or -1 (bearish when slow exceeds fast), providing foundational directional input that requires additional confirmation before generating actionable trend states.
🔶 Volume-Adjusted Normalization Framework
Features sophisticated normalization calculation that measures price deviation from basis EMA, scales by standard deviation, then applies volume-weighted adjustment factor for participation-sensitive signal generation. The system calculates Volume RSI to quantify relative volume strength, converts to ratio format, and multiplies normalized deviation by volume factor scaled by impact parameter, creating signals that strengthen during high-volume confirmations and weaken during low-volume moves.
// Volume-Adjusted Normalization
Vol_Ratio = Volume_RSI / 50
Vol_Factor = 1 + (Vol_Ratio - 1) * Vol_Impact
Dev = src - Basis_EMA
Raw_Normalized = Dev / (StdDev * Multiplier)
Vol_Adjusted_Norm = Raw_Normalized * Vol_Factor
🔶 CCI Momentum Filter Integration
Implements Commodity Channel Index threshold system with configurable upper and lower bounds to validate trend strength and filter sideways market conditions. The system calculates standard CCI with adjustable length, compares against asymmetric thresholds (default +100 bullish, -50 bearish), and requires CCI confirmation in addition to EMA direction and normalized deviation before transitioning trend states, ensuring only high-conviction signals generate entries.
🔶 Multi-Layer Trend State Logic
Provides intelligent trend state machine requiring simultaneous confirmation from EMA direction, volume-adjusted normalization threshold breach, and optional CCI momentum validation. The system maintains persistent trend state that only transitions when all three conditions align, preventing premature reversals during temporary retracements or low-volume fluctuations while capturing genuine trend changes with institutional-grade confirmation requirements.
🔶 Dynamic Volume Band Architecture
Creates volatility-adjusted bands around basis EMA using standard deviation multiplied by volume factor, producing channels that widen during high-volume periods and contract during low-volume consolidations. The system applies identical volume adjustment to band calculations as normalization metric, ensuring visual envelope consistency with underlying signal logic and providing intuitive reference boundaries for trend-following price action.
🔶 Gradient Strength Visualization System
Implements color intensity modulation based on normalized signal strength relative to threshold requirements, creating visual feedback that communicates trend conviction. The system calculates strength ratio by dividing absolute normalized value by threshold, caps at 1.0, and applies gradient interpolation from muted to vivid colors, instantly conveying whether current trend exhibits marginal or strong characteristics through line and candle coloring.
🔶 Volume RSI Calculation Engine
Utilizes RSI methodology applied to volume series rather than price to quantify relative participation strength with normalization to 0.5-1.5 range for factor multiplication. The system processes volume through standard RSI calculation, divides by 50 to center around 1.0, and produces ratio values where readings above 1.0 indicate above-average volume and below 1.0 suggest below-average participation for signal adjustment purposes.
🔶 Asymmetric Threshold Configuration
Features separate positive and negative normalization thresholds with independent CCI upper and lower bounds enabling optimization for bullish versus bearish signal generation characteristics. The system defaults to symmetric normalized thresholds (±0.2) but asymmetric CCI levels (+100/-50), recognizing that bullish momentum often requires stronger confirmation than bearish reversals in typical market structures.
🔶 Comprehensive Visual Integration
Provides multi-dimensional trend visualization through color-coded basis line, volume-adjusted bands with gradient fills, trend-synchronized candle coloring, and transition signal labels. The system enables selective display toggling for each visual component while maintaining consistent color scheme and strength-based intensity across all elements for cohesive chart presentation without overwhelming information density.
🔶 Alert and Signal Framework
Generates trend change alerts when state transitions occur with all confirmation requirements satisfied, providing notifications for bullish (transition to +1) and bearish (transition to -1) signals. The system implements state change detection through comparison with previous bar trend state, ensuring single alert per transition rather than continuous notifications during sustained trends.
🔶 Performance Optimization Architecture
Employs efficient calculation methods with null value handling for Volume RSI initialization and nz() functions preventing calculation errors during early bars. The system includes intelligent state persistence maintaining previous trend during ambiguous conditions and optimized gradient calculations balancing visual quality with computational efficiency across extended historical periods.
🔶 Why Choose Volume-Adjusted CCI Trend ?
This indicator delivers sophisticated trend identification through multi-layered confirmation combining directional EMA analysis, volume-weighted normalization, and momentum validation via CCI filtering. Unlike traditional trend indicators relying solely on price-based calculations, the volume adjustment mechanism ensures signals strengthen during high-participation moves and weaken during low-volume drifts, reducing false breakouts and choppy market whipsaws. The system's requirement for simultaneous EMA direction, normalized threshold breach, and CCI momentum confirmation creates institutional-grade signal quality suitable for systematic trend-following approaches across cryptocurrency, forex, and equity markets. The volume-adjusted bands provide dynamic support/resistance references while the gradient strength visualization enables instant assessment of trend conviction for position sizing and risk management decisions.
ADR% / ATR / LoD dist. Table - V2ADR% / ATR / LoD Distance Table (V2) + ATR Range Lines is a simple “daily volatility dashboard” that helps you quickly judge how extended a stock is during the day and where “normal” daily movement zones sit relative to price.
It’s designed to help you answer:
“Has this stock already made most of its usual daily move?”
“Am I chasing too late?”
“Where are typical +ATR / −ATR stretch and pullback zones?”
What you’ll see
ADR% (Average Daily Range %)
Shows the stock’s typical daily travel (low → high) as a percentage.
Example: ADR% = 4% means the stock often swings ~4% in a normal day.
ATR (Average True Range)
Shows the stock’s typical daily movement in price units ($ / points).
Example: ATR = 2.50 means it often moves about $2.50 per day.
LoD dist. (Low of Day distance)
Shows how far price is from today’s Low of Day, measured relative to ATR (as a %).
Higher % = more extended away from the day’s low.
Optional: ATR Range Lines (added in this version)
You can enable two guide lines that extend to the right:
ATR Up Line = Price + ATR
ATR Down Line = Price − ATR
These act like volatility guardrails to visualize “typical daily stretch” and “typical pullback” zones.
ATR “Live vs Locked” option (important)
Lock ATR to last completed day (no intraday updates):
ON (Locked): Uses the last completed daily ATR (yesterday’s finished value).
✅ ATR stays constant all day while the market is live.
OFF (Live): ATR can update intraday as today’s daily candle expands.
✅ ATR may change during the session.
Either way, ATR is still based on your chosen ATR Length (lookback period). Locking simply prevents the ATR from drifting intraday.
How to use it (Kullamägi-style principle)
Kristjan Kullamägi’s momentum style emphasizes pressing strength when conditions are right, but also respecting extension and risk/reward. This tool helps you quantify that:
If ADR%/ATR suggests the stock already moved near its usual daily range, chasing can be lower reward.
The ATR lines help you visualize when price is in a “normal stretch zone” vs a better risk area.
Locking ATR gives you stable intraday reference levels for cleaner execution.
Tips
Use ADR% to understand whether there’s likely “room” left in today’s move.
Use LoD dist. to quickly gauge if price is already far from the day’s low (extended).
Use ATR Up/Down Lines as a simple volatility framework for entries, add-ons, and risk planning.
Keep Lock ATR ON if you prefer stable levels throughout the session.
Credits
Original indicator concept & script: ArmerSchlucker
ADR% formula credit: MikeC / TheScrutiniser and GlinckEastwoot
Modifications (V2): TradersPod
Added optional ATR Up/Down lines extending to the right
Added “Lock ATR to last completed day” option for stable intraday ATR reference
Kept the original logic and purpose intact
VDUB Bands - MTF WMA+ATR Volatility Lanes (6 Alerts)VDUB Bands draws volatility-scaled “trend lanes” around a Weighted Moving Average (WMA) using ATR (or a WMA of True Range). It can display up to four tiers (L1–L4), with higher tiers sourced from higher timeframes to show local structure → higher-timeframe structure on a single chart.
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1. What it does (plain English)
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Think of each tier as a lane system around the trend:
• Inner rails = “normal volatility lane” around the WMA
• Outer rails = “extension / extreme zone” for that tier
• Higher tiers (L3/L4) show bigger structure
• Lower tiers (L1/L2) show active lane behavior
Typical interpretation:
• Price inside inner rails → normal variance around the trend lane
• Between inner and outer → stretched, but not extreme
• Outside outer rails → extended vs that tier’s volatility band
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2) Why it’s useful (and why it’s not a mashup)
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This is not a bundle of unrelated indicators. Everything serves one cohesive purpose:
• Visualize trend + volatility lanes across multiple time horizons
• Keep rails consistent and readable (levels, fills, outlines)
• Optional multi-timeframe aggregation for structure context
• A compact 6-alert set to catch key transitions without alert spam
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3) What you see on the chart
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For each level (L1–L4), you can show:
• Upper/Lower Inner rails
• Upper/Lower Outer rails
• Optional center fill (between outer rails) = operating range
• Optional MA line per tier (off by default to reduce clutter)
• Base WMA line (L1 MA) if enabled
Suggested workflow:
• Start with L1 + L2 only
• Add L3/L4 once you like the structure view
• Use Dynamic Opacity if the chart feels crowded
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4) How it works (transparent formula)
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For each tier:
• MA = WMA(source, baseLen × levelMultiplier)
• ATR_like = Wilder ATR (default)
OR WMA(TrueRange, atrLen × levelMultiplier)
Inner rails:
• upperInner = MA + ATR_like × innerMult
• lowerInner = MA - ATR_like × innerMult
Outer rails:
• upperOuter = MA + ATR_like × outerMult
• lowerOuter = MA - ATR_like × outerMult
Tier behavior:
• L1 uses the chart timeframe
• L2–L4 can use user-selected HTFs (defaults: 4H / D / W)
or optional auto-selection
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5) Multi-timeframe behavior + interpolation
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• L2–L4 use request.security() with lookahead OFF (no future data).
• HTF bands naturally “step” when the HTF candle confirms.
• Interpolate HTF Bands (optional): visually blends from the prior confirmed HTF value to the current confirmed HTF value to reduce stepping. This is display smoothing, not prediction.
Repaint note:
• If Live Interp (Repaints) is enabled, the HTF lines can update intrabar and may repaint. Keep it OFF for strict non-repainting behavior.
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6) Auto-select L2/L3/L4 (optional)
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Two modes:
A) Ladder (deterministic)
• Picks “bigger” timeframes relative to the chart (simple and fast).
B) Score (data-driven)
• Tests candidate timeframes and scores them using:
• Coverage: % of closes inside the OUTER band over Score Lookback
• Width: average outer-band width as a fraction of MA
• Targets: Target Coverage + Target Width
• Weights: Coverage Weight + Width Weight
Performance notes:
• Score mode is heavier (many candidates).
• “Lock auto-select after first pick” is recommended to reduce load and avoid platform limits.
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7) Alerts (6 total, aggregated across L1–L4)
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Alerts trigger if ANY tier meets the condition:
• Cross ABOVE an OUTER band
• Cross BELOW an OUTER band
• Cross ABOVE an INNER band
• Cross BELOW an INNER band
• Price is OUTSIDE ABOVE an OUTER band
• Price is OUTSIDE BELOW an OUTER band
These are intentionally aggregated to keep the alert count small while catching meaningful transitions.
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8) Limitations & transparency
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• Indicator only (not a strategy). No performance claims.
• MTF values update when the higher timeframe candle confirms.
• Interpolation is visual smoothing; it does not forecast.
• Non-standard chart types (Heikin Ashi/Renko/etc) may behave differently from standard candles.
• If you enable repainting options, signals/levels may change intrabar.
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9) Credits/reuse disclosure
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• Conceptual inspiration: VDUB and the community “VDUB_BINARY_PRO_3_V2” idea of WMA ± TR/ATR × multipliers.
• This version is a reimplementation + extension, adding:
o Multi-tier architecture (L1–L4)
o Higher-timeframe sourcing + optional interpolation
o Optional scoring-based timeframe selection
o Dynamic opacity + streamlined plotting
o Aggregated 6-alert set
No code was copied directly from the older script; this is a rewritten implementation with additional features and different structure.
www.tradingview.com
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity
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█ ORIGINALITY
This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation.
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█ WHAT IT DOES
- Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average
- Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY)
- Auto-detects asset type and applies optimized parameters for each instrument
- Displays real-time session information and volatility status
- Provides alert functionality with customizable cooldown periods
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█ HOW IT WORKS
【Core Logic: ATR Trailing Stop】
The indicator calculates an ATR-based trailing stop using the formula:
Trailing Stop = Price ± (Sensitivity × ATR)
When price is above the trailing stop and rising, the stop trails below price.
When price is below the trailing stop and falling, the stop trails above price.
【Signal Generation】
- BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop
- SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop
【Session-Based Sensitivity Adjustment】
The indicator adjusts ATR sensitivity based on trading session (JST timezone):
- Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets
- London (15:00-23:00): Base sensitivity - moderate volatility
- New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility
【Dynamic ATR Adjustment】
When enabled, the indicator compares current ATR to its smoothed average:
- ATR Ratio = Current ATR / SMA(ATR, smoothing period)
- Volatility Multiplier = 1.0 + (Sensitivity × (2.0 - ATR Ratio))
This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response).
【Auto Asset Detection】
The indicator automatically detects the traded instrument and applies optimized parameters:
- Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8
- Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3
- Volatile pairs (GBPUSD): Base sensitivity 2.8
- Commodities (GOLD/XAUUSD): Base sensitivity 3.5
- Indices (NASDAQ/NAS100): Base sensitivity 4.0
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15 minutes or higher (15M, 1H, 4H recommended)
- Best performance on: Forex majors, Gold, NASDAQ
- Enable "Auto Asset Detection" for optimized parameters
【Entry Rules】
- BUY: Enter long when green BUY label appears
- SELL: Enter short when pink SELL label appears
【Session Panel】
The top-right panel displays:
- Current trading session (Tokyo/London/NY)
- Volatility status (High Chance/Medium Chance/Caution)
- Mode (AUTO/MANUAL)
【Alert Setup】
1. Enable "Viewer Alert Display" in settings
2. Set cooldown period (default: 15 minutes) to avoid signal spam
3. Create alert with "Any alert() function call" condition
【Important Notes】
- This indicator does not repaint - signals are confirmed at bar close
- Lower timeframes (1M, 5M) may generate excessive signals
- Always use proper risk management and confirm with other analysis
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█ SETTINGS OVERVIEW
🎯 Alert Settings
- Viewer Alert Display: Enable/disable alert labels
- Cooldown Function: Prevent rapid consecutive signals
- Cooldown Time: Minutes between alerts (5-60)
🔧 Dynamic ATR Settings
- Enable Dynamic ATR: Auto-adjust based on volatility
- ATR Period: Calculation period (default: 14)
- ATR Smoothing: Smoothing period for ratio calculation
- Volatility Sensitivity: How much to adjust (0.1-1.0)
🕐 Session ATR Adjustment
- Enable Time Adjustment: Session-based sensitivity
- Show Session Info: Display session panel
📊 Asset Settings
- Auto Asset Detection: Automatically optimize for instrument
- Manual settings available when auto-detection is disabled
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█ CREDITS
Based on the original UT Bot concept by QuantNomad.
Enhanced with session-based adaptation and auto-asset detection by EduVest.
License: Mozilla Public License 2.0
