Average True Range V2Here's an introduction and explanation for your ATR indicator script:
Average True Range (ATR) with Enhanced Features
This custom ATR indicator builds upon the traditional Average True Range calculation with several advanced visualization and analysis features designed for traders who need more precise market volatility insights.
Overview
The indicator calculates ATR using your choice of four smoothing methods (RMA, SMA, EMA, or WMA) and adds professional-grade tools for identifying extreme volatility levels over different time periods.
Key Features
Delayed Update Mode: Toggle the "Wait for period end before updating" option to prevent the ATR from recalculating until the current candle closes, eliminating false signals during active price action.
Scale Inversion: The "Flip scale" feature inverts the ATR values, which can be useful when comparing volatility patterns with inversely correlated indicators or when creating custom overlay strategies.
Dynamic Horizontal Line: A real-time horizontal line tracks the current ATR value across your chart, making it easier to identify when volatility reaches specific levels. Customize its color, style (solid, dashed, or dotted), and width to match your charting preferences.
Extreme Value Markers: Automatically identifies and marks 3-day and 7-day volatility extremes with customizable shapes and colors. This helps you quickly spot:
3-day low/high volatility points (shorter-term extremes)
7-day low/high volatility points (medium-term extremes)
Choose from seven different marker shapes (circle, triangle up/down, square, diamond, cross, or X cross) to distinguish between different extreme types at a glance.
Practical Applications
Use this indicator to identify optimal entry and exit points based on volatility cycles, set more accurate stop-loss levels during low volatility periods, or spot potential breakout opportunities when volatility reaches extreme lows before expanding.
The extreme markers are particularly valuable for mean-reversion strategies, helping you identify when volatility has stretched to unsustainable levels and may return to normal ranges.
Would you like me to adjust the tone to be more technical or conversational, or expand on any specific feature?
תנודתיות
Custom Time Highlighter (UK time adjusted)Overview
This indicator is designed to visually isolate a specific custom time window on your chart.
It automatically adjusts for British Summer Time (BST) and Greenwich Mean Time (GMT) transitions, ensuring your session start and end times remain accurate throughout the year.
Customizable Window: While the default is set to 9:15 AM - 5:15 PM, users can easily modify the session hours via the input settings.
stelaraX - Keltner ChannelstelaraX – Keltner Channel
stelaraX – Keltner Channel is a volatility-based price channel indicator that combines an exponential moving average with the Average True Range to define dynamic upper and lower boundaries around price. The indicator is designed to highlight trend direction, volatility expansion, and potential breakout or mean reversion zones.
For advanced AI-based chart analysis and automated volatility interpretation, visit stelarax.com
Core logic
The indicator calculates the Keltner Channel using three components:
* an exponential moving average as the central basis line
* an upper band defined as EMA plus a multiple of ATR
* a lower band defined as EMA minus a multiple of ATR
Both the EMA period and ATR period are user-configurable, as well as the ATR multiplier, allowing precise control over channel width and sensitivity.
Visualization
The script plots:
* the EMA basis line
* the upper Keltner Channel band
* the lower Keltner Channel band
The area between the upper and lower bands can be filled with a semi-transparent color to clearly visualize the active volatility range. All colors are fully customizable for clean chart integration.
Use case
This indicator is intended for:
* trend-following and channel-based strategies
* identifying volatility expansion and contraction
* breakout and pullback analysis
* dynamic support and resistance evaluation
* combining volatility with trend direction
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
stelaraX - ATRstelaraX – ATR
stelaraX – ATR is a volatility indicator based on the Average True Range (ATR). It measures the average price movement over a defined period and provides a clear view of current market volatility independent of price direction.
For advanced AI-based chart analysis and automated volatility evaluation, visit stelarax.com
Core logic
The indicator calculates the Average True Range using a user-defined period.
ATR is derived from the true range, which considers:
* current high minus current low
* absolute difference between current high and previous close
* absolute difference between current low and previous close
The ATR value reflects the average volatility over the selected lookback window.
Visualization
The script plots a single ATR line in a separate indicator pane:
* smooth volatility line
* configurable period length
* customizable line color
* clean and minimal visual design
The indicator does not generate signals and is intended purely for volatility assessment.
Use case
This indicator is intended for:
* measuring market volatility
* defining dynamic stop loss and take profit distances
* position sizing and risk management
* identifying volatility expansion or contraction
* filtering trades based on market conditions
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
stelaraX - Donchian BreakoutstelaraX – Donchian Breakout
stelaraX – Donchian Breakout is a breakout-focused indicator based on the Donchian Channel concept. It identifies bullish and bearish breakouts when price closes outside the previous high–low range, providing clear and rule-based breakout signals.
For advanced AI-based chart analysis and automated breakout evaluation, visit stelarax.com
Core logic
The indicator calculates a Donchian Channel using a user-defined lookback period:
* upper band is the highest high of the previous period
* lower band is the lowest low of the previous period
* middle line represents the midpoint of the channel
Breakout conditions are defined as:
* bullish breakout when price closes above the upper band
* bearish breakout when price closes below the lower band
Using the previous period values avoids repainting and ensures confirmed breakout signals.
Visualization
The script plots:
* upper and lower Donchian Channel boundaries
* a midpoint line for range context
* a filled channel area to visualize the active range
Breakout signals are marked directly on the chart:
* upward triangle for bullish breakouts
* downward triangle for bearish breakouts
All colors are fully customizable.
Alerts
Alert conditions are included for:
* bullish Donchian breakout
* bearish Donchian breakout
Alerts reference the active ticker and trigger only on confirmed breakout conditions.
Use case
This indicator is intended for:
* breakout and trend-following strategies
* identifying range expansions
* systematic Donchian channel trading
* momentum-based entry signals
* multi-timeframe breakout analysis
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
stelaraX - Donchian ChannelstelaraX – Donchian Channel
stelaraX – Donchian Channel is a classic price channel indicator designed to track market extremes over a defined lookback period. The indicator highlights the highest high and lowest low, providing a clear view of price range, breakout levels, and trend strength.
For advanced AI-based chart analysis and automated range interpretation, visit stelarax.com
Core logic
The indicator calculates the Donchian Channel using a user-defined period:
* upper band represents the highest high over the selected period
* lower band represents the lowest low over the selected period
* middle line represents the midpoint between upper and lower bands
This structure allows traders to quickly identify range boundaries and directional bias.
Visualization
The script plots:
* the upper Donchian Channel line
* the lower Donchian Channel line
* a central midpoint line
The area between the upper and lower bands can be filled with a semi-transparent color to clearly visualize the active trading range. All colors are fully customizable.
Use case
This indicator is intended for:
* breakout and trend-following strategies
* identifying support and resistance ranges
* volatility and range expansion analysis
* channel-based trade management
* multi-timeframe range evaluation
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
stelaraX - Bollinger BandsstelaraX – Bollinger Bands
stelaraX – Bollinger Bands is a classic volatility-based indicator designed to visualize price dispersion around a moving average. The script plots the Bollinger Bands directly on the chart, allowing traders to assess volatility, potential mean reversion zones, and dynamic support and resistance levels.
For advanced AI-based chart analysis and automated volatility interpretation, visit stelarax.com
Core logic
The indicator calculates Bollinger Bands using three core components:
* a simple moving average as the basis line
* an upper band calculated by adding a multiple of standard deviation
* a lower band calculated by subtracting a multiple of standard deviation
The period length and standard deviation multiplier are fully configurable, allowing adaptation to different markets and timeframes.
Visualization
The script plots:
* the basis moving average line
* the upper Bollinger Band
* the lower Bollinger Band
The area between the upper and lower bands can be filled with a semi-transparent color to clearly highlight the active volatility range. All colors are customizable for optimal chart integration.
Use case
This indicator is intended for:
* volatility analysis and expansion or contraction detection
* identifying overextended price conditions
* mean reversion and breakout strategies
* dynamic support and resistance analysis
* multi-timeframe volatility assessment
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
ATR Structure Trail Pro & Range Filter (v6)📌 ATR Structure Trail Pro & Range Filter (v6)
Multi-purpose trend-following and consolidation detection tool
🔍 Overview
This indicator combines structure pivots, an ATR-based trailing stop, range detection, and clean visual signals to identify trend shifts and potential trade zones.
It is designed for traders who want simple, clean structure reading without unnecessary chart noise.
This indicator does not guarantee profit and is intended for educational and analytical purposes only, serving as a visual aid for reading price action.
⚙️ Main Components
1️⃣ Structure Pivot Flip (Trend Change Detection)
The indicator uses Pivot High / Pivot Low structure to detect when price creates:
Higher High → BUY bias
Lower Low → SELL bias
When a structural flip occurs:
a green arrow appears (potential bullish setup)
or a red arrow appears (potential bearish setup)
These arrows are not trade signals, but visual markers highlighting a shift in market context.
2️⃣ ATR Trail Stop (Adaptive Trend Line)
The ATR trail line automatically adapts to market volatility:
green during bullish phases
red during bearish phases
The ATR multiplier determines how far the dynamic trail is placed relative to price.
The trail line is not a guaranteed exit level — it acts as a dynamic structural reference.
3️⃣ Range/Box Zones (Consolidation Filter)
When the indicator detects that price is entering a tight consolidation range based on ATR and recent volatility, it draws a box zone:
blue in bullish context
purple in bearish context
Range zones indicate low-risk/no-trade areas where entries are typically avoided according to price action logic.
🎯 Trading Logic (Non-Signaling)
This indicator is not a trading system.
It visually highlights:
✔ structure
✔ trend
✔ volatility
✔ consolidation
✔ potential reversals
Users make trading decisions independently of these visual elements.
🧩 Inputs & Customization
You can fully customize:
ATR length & multiplier
Pivot sensitivity
Box fill and border colors
ATR trail color, width, and style (solid/dashed/dotted)
Visibility of all components individually
The indicator works across all timeframes and instruments.
💡 How to Use
Use arrows as informational markers of structure change
Use the ATR trail as a dynamic guide for current trend
Use range boxes to avoid entries during consolidation
Combine it with your own price action analysis, EMA/Kijun lines, session opens, or volume levels
⚠️ Important Notes
This indicator provides no performance guarantees
Not financial advice or a trading signal
Users are responsible for their own testing and application
Intended strictly for educational and analytical use in compliance with TradingView’s rules
📬 Author Notes
If you find this indicator useful, feel free to leave a comment or suggestion for future improvements.
All inputs are open for expansion and further development.
[src] [uxo, @envyisntfake] accurate strike -> futures conversioni accidetnally clicked protected script and not open source the script lolololol
no trader should ever fear a tool that they rely on to be hidden unless its a niche concept
check out @envyisntfake discord / github, i used his convertor as a base, i only improved the porting to make this live, and added smoothing to make the conversions better rather than manually inputting it into his calculator
MACD (Standard) + ATR BoxJust a MACD with a ATR values box so no need for wasting a standalone indicator just for the ATR value. You can also calculate the ATR stop loss calculation.
Profile volume deviationThis indicator calculates the width of the 70% Value Area of a moving volume profile over a defined number of candles.
It begins by identifying the highest and lowest points of the period under review, then divides this price range into several segments. For each candle, the volume is added to the segment corresponding to the closing price, which allows a volume profile to be constructed.
Once the total volume is known, the indicator identifies the most traded segment, called the Point of Control. From this central point, it gradually widens the area upwards and downwards by adding the most voluminous adjacent segments until it covers 70% of the total volume: this is the Value Area.
The lower and upper limits of this area are then converted into prices, and their difference gives the width of the Value Area. This width can be displayed directly as a price value or as a percentage of the current price.
The indicator is mainly used to assess the state of the market: a narrow Value Area suggests a phase of compression or range, while a wide Value Area indicates a period of expansion and strong activity.
Sakalau02 - 10 SessionsThis Pine Script indicator, "Market Sessions - 10 Sessions", is a professional-grade visualization tool designed to map the temporal structure of the financial markets directly onto your chart. It acts as a "chronological compass," helping traders identify volatility cycles and the institutional "changing of the guard" across global financial hubs.
Here is a breakdown of its core features and why it is ideal for highlighting market phases:
## Comprehensive Global Coverage
While most indicators only track the "Big Three" (London, New York, Tokyo), this script provides support for up to 10 customizable sessions.
Standard Sessions: Tokyo, London, New York, and Sydney.
Extended Hubs: Includes Frankfurt, Hong Kong, Singapore, Shanghai, Toronto, and Mumbai.
Why it matters: This allows you to track specific liquidity pockets, such as the Frankfurt open (which often front-runs London) or the crucial Asian-Pacific overlaps.
## Visualizing Market Phases
The indicator uses a Box-based visual system to encapsulate price action within specific timeframes. This helps in identifying:
Accumulation Phases: Typically seen during lower-volume sessions (like late Sydney or early Tokyo) where price moves sideways in a tight box.
Expansion/Trend Phases: Easily identified when a new session (like London or NY) breaks out of the previous session’s high or low.
Distribution/Reversals: Indicated when price reaches the upper or lower boundaries of a session box and fails to sustain the move.
## Key Technical Insights
The script doesn't just draw boxes; it provides "internal" session data to refine your entries:
Open/Close Lines: Highlights the session's starting price versus its current trajectory, helping you see if a session is "bullish" or "bearish" at a glance.
0.5 Median Level: Automatically plots the mid-point (50% level) of each session's range, which often acts as a significant "fair value" support or resistance area.
Pips & Percentage Tracking: Built-in hooks to calculate the volatility (range) of each session.
## Advanced Customization & Cleanliness
Overlap Management: Includes a "Merge Overlaps" feature to keep the chart clean during periods where multiple major markets are open simultaneously.
Lookback Control: To prevent chart lag, you can limit the history (e.g., last 150 days), ensuring the script runs smoothly even on lower timeframes.
Multi-Display Modes: Choose between Boxes, Zones (background highlights), or Timeline views depending on your preference for price action clarity.
## Summary for Trading Strategy
This indicator is perfect for Power of 3 (PO3) or ICT-style traders who rely on "Time and Price." By highlighting exactly when New York opens relative to London, or where the "London Lunch" stagnation occurs, it helps you avoid "choppy" low-liquidity periods and focus on high-probability volatility windows.
Alții caută confirmări, eu desenez zonele. ✍️ Sakalau02: Semnat, Andrei. (Nu uitați să verificați 0.5-ul!)
Double Trisectional Volatility BandsDouble Trisectional Volatility Bands (DTVB) | MisinkoMaster
Double Trisectional Volatility Bands (DTVB) is a volatility-based trend indicator designed to create smooth yet adaptive price envelopes capable of tracking trend structure while reacting to volatility expansion. The indicator emphasizes stability during consolidation while clearly highlighting strong price moves beyond normal market behavior.
This makes DTVB particularly suitable for traders seeking structured volatility envelopes that remain stable during noise yet clearly identify breakout and trend continuation phases.
Key Features
Double-layer trisectional smoothing for stable trend structure
Adaptive volatility bands responding to changing market conditions
Clear breakout detection through band expansion and price crossings
Dynamic candle coloring for immediate trend visualization
Automatic Long and Short markers on confirmed trend shifts
Designed to balance smooth structure with volatility responsiveness
Suitable for both breakout and trend-following strategies
How It Works
DTVB uses a multi-stage smoothing process that divides price behavior into layered components, allowing the central structure to remain smooth while still reacting to changing volatility conditions.
Instead of relying on a single smoothing pass, the indicator blends multiple smoothing layers to maintain structural consistency across varying market environments.
A volatility component then measures how far price deviates from this smoothed structure, and adaptive bands are constructed around the central value. When price moves outside these envelopes, it signals abnormal movement or potential trend continuation.
The result is a band system that stays stable during sideways markets yet expands when volatility increases, helping traders detect meaningful price transitions.
Inputs Overview
Source — Selects the price data used for calculations
Lookback Period — Controls the primary smoothing length used in the band structure
Factor — Adjusts the volatility multiplier controlling band width
Volatility Lookback — Defines the smoothing period applied to volatility calculations
Usage Notes
Designed for traders seeking smooth volatility envelopes
Breakouts occur when price crosses outside the bands
Band expansions often accompany strong trend movements
Works well for trend continuation and breakout confirmation
Best used alongside price structure or confirmation indicators
Parameters should be tuned according to asset volatility and timeframe
Summary
Double Trisectional Volatility Bands provide a smooth yet adaptive volatility envelope designed to highlight abnormal price movements while maintaining stable structure during consolidation. It is well suited for traders seeking structured breakout and volatility-aware trend analysis tools.
stelaraX - Fair Value GapstelaraX – Fair Value Gap
stelaraX – Fair Value Gap is a technical analysis indicator designed to detect, visualize, and manage Fair Value Gaps (FVGs) using a strict three-candle imbalance model. The script identifies bullish and bearish gaps, draws them as zones on the chart, and tracks their mitigation status over time.
For advanced AI-based chart analysis and automated structure interpretation, visit stelarax.com
Core logic
The indicator detects Fair Value Gaps using a three-bar condition:
* bullish FVG when the current low is above the high from two bars ago
* bearish FVG when the current high is below the low from two bars ago
Detected gaps are filtered using minimum size requirements:
* minimum size in ticks
* minimum size as a percentage of price
Each FVG stores its top and bottom boundaries, its midpoint level (Consequent Encroachment), the creation bar, and its current state.
Consequent Encroachment and mitigation
The script can optionally plot the Consequent Encroachment (CE) level, defined as the midpoint of the gap.
Mitigation tracking is supported and can be defined as:
* Touch
* 50 percent retracement to the CE level
* Full fill of the gap
When mitigation occurs, the FVG can:
* remain visible in a mitigated state
* be deleted automatically
* stop extending and close at the mitigation bar
Mitigation styling uses a dedicated color scheme to clearly separate active and mitigated gaps.
Visualization
FVGs are drawn directly on the chart as colored zones:
* bullish FVGs are displayed in green tones
* bearish FVGs are displayed in red tones
Optional features include:
* CE level line with configurable line style
* FVG labels
* automatic extension of active gaps
* configurable maximum age and maximum number of displayed gaps
All colors and display settings are fully customizable.
Dashboard
An optional on-chart dashboard provides a real-time overview of:
* total bullish and bearish FVGs
* mitigated bullish and bearish FVGs
* active (unmitigated) FVGs
* mitigation percentages
Dashboard position and text size are configurable.
Alerts
Alert conditions are available for:
* newly detected bullish FVGs
* newly detected bearish FVGs
Additional real-time alerts can be triggered when an FVG is mitigated.
Use case
This indicator is intended for:
* imbalance and fair value gap mapping
* identifying potential reaction zones and retracement areas
* tracking gap mitigation behavior over time
* multi-timeframe confluence analysis
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
stelaraX - BSL/SSL LiquiditystelaraX – BSL/SSL Liquidity
stelaraX – BSL/SSL Liquidity is a technical analysis indicator that identifies and tracks buy-side and sell-side liquidity levels based on swing highs and swing lows. The script uses pivot detection to mark potential liquidity pools, then monitors price action to highlight when those levels are swept.
The indicator is designed to visualize liquidity as either lines, zones, or both, and to keep the chart clean through configurable level limits and optional extensions.
Core logic
Swing highs and swing lows are detected using ta.pivothigh and ta.pivotlow with a user-defined swing length.
Each detected swing high creates a BSL level, and each detected swing low creates an SSL level.
For every created level, the script stores:
* the price
* the bar index where the swing formed
* sweep status and sweep bar
* optional drawn objects (line, zone box, label)
A level is considered swept when:
* BSL is swept if high trades above the stored swing high price
* SSL is swept if low trades below the stored swing low price
When a sweep occurs, the corresponding visuals are updated to a “swept” style (higher transparency and dashed line), and the level is stopped/closed at the sweep bar.
Display and styling
The indicator supports three display modes:
* Lines: horizontal liquidity lines
* Zones: rectangular zones with adjustable width in percent
* Both: lines and zones together
Additional options:
* extend levels forward by a fixed amount if not swept
* show labels at creation (BSL / SSL)
* optional swept marker at the sweep bar
* customizable colors for active and swept states
* maximum number of levels to keep on chart (older levels are removed automatically)
Dashboard
An optional dashboard summarizes:
* total BSL levels and swept BSL levels
* total SSL levels and swept SSL levels
* sweep rate percentages for both sides
The dashboard position and text size are configurable.
Alerts
The script provides:
* alert conditions for new BSL and SSL levels (new pivot high / new pivot low)
* optional real-time alert messages when a sweep is detected (BSL swept or SSL swept)
Disclaimer
This indicator is intended for technical analysis purposes only and does not provide financial advice or trade recommendations. Trading decisions and risk management remain the responsibility of the user.
Outlier Catching Moving AverageOutlier Catching Moving Average (OCMA) | MisinkoMaster
Outlier Catching Moving Average (OCMA) is a volatility-adaptive trend indicator designed to react quickly to abnormal price movements while maintaining smooth behavior during normal market conditions. The indicator aims to capture sudden price expansions without sacrificing overall trend clarity.
This makes OCMA suitable for traders who want faster adaptation to unusual market activity while still preserving stable trend structure across varying volatility regimes.
Key Features
Volatility-adaptive moving average designed to react to price outliers
Multiple moving average bases supported for flexible smoothing behavior
Optional ATR-based adaptive bands for volatility envelopes
Configurable trend logic for earlier signals or stronger confirmations
Dynamic candle coloring for intuitive trend visualization
Automatic Long and Short markers on confirmed trend transitions
Designed to balance responsiveness and smoothness across market conditions
How It Works
OCMA builds on traditional moving average concepts but incorporates adaptive smoothing that adjusts according to changing market volatility.
Rather than behaving uniformly across all conditions, the average becomes more responsive when price behavior deviates strongly from recent structure and smoother when markets return to normal activity.
Optional ATR bands expand and contract with volatility, helping identify when price moves significantly away from its adaptive equilibrium.
The result is a moving average that remains stable in calm markets yet quickly adapts when price action becomes irregular or impulsive.
Inputs Overview
Source — Selects the price data used in calculations
Moving Average Length — Controls the main smoothing period
ATR Length — Sets the volatility measurement period used for band calculations
Base Moving Average — Selects which moving average type is used as the foundation
Trend Logic — Chooses whether trends are detected via band crossover, average direction change, or both
Use ATR Bands — Enables or disables adaptive volatility bands
Factor — Controls ATR band width sensitivity
ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected
Usage Notes
Designed to detect abnormal price expansions while preserving overall trend structure
Suitable for breakout traders and volatility-aware trend strategies
Band crossovers can signal potential trend transitions
Average direction changes may confirm continuation or reversal
Works well when combined with market structure or confirmation tools
Adjust parameters according to asset volatility and timeframe
Summary
Outlier Catching Moving Average provides a volatility-aware alternative to standard moving averages, helping traders capture unusual price behavior while maintaining smooth and readable trend signals. It is well suited for traders seeking adaptive trend tools capable of responding when markets move outside normal conditions.
Outlier Resistant Moving AverageOutlier Resistant Moving Average (ORMA) | MisinkoMaster
Outlier Resistant Moving Average (ORMA) is a trend-following moving average designed to reduce the impact of abnormal price spikes while preserving responsiveness to real market moves. The goal is to provide a smoother and more stable trend reference that remains usable even during volatile or erratic price behavior.
Unlike traditional moving averages that react strongly to sudden price shocks, ORMA adapts its behavior to volatility conditions, helping traders follow trends without being constantly misled by temporary price extremes.
Key Features
Moving average designed to resist distortion from price outliers
Adaptive smoothing behavior that reacts to volatility conditions
Optional ATR-based dynamic bands for trend confirmation
Multiple moving average types supported as the calculation base
Flexible trend detection logic options
Automatic trend coloring and signal labeling
Candle coloring for intuitive trend visualization
How It Works
ORMA builds upon a selectable base moving average and modifies its behavior to reduce the influence of abnormal price movements. Instead of reacting equally to all price changes, the calculation adjusts its responsiveness according to changing volatility conditions.
When market volatility expands, the indicator becomes more conservative, preventing sudden spikes from distorting the average. During calmer conditions, responsiveness increases, allowing the average to track price action more closely.
Optional ATR-based bands can be applied around the average, allowing traders to use band breakouts as confirmation of trend strength rather than relying solely on slope changes.
The result is a moving average that remains stable in noisy markets while still adapting during real trend movements.
Inputs Overview
Source — Selects the price source used in calculations
Moving Average Length — Controls smoothing and calculation sensitivity
ATR Length — Controls volatility measurement used for adaptive behavior
Base Moving Average — Selects which MA type forms the calculation foundation
Trend Logic — Determines whether trend is detected via crossover, slope change, or both
Use ATR Bands — Enables or disables dynamic ATR bands
ATR Factor — Controls band distance from the average
ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected
Floored Offset — Optional ALMA configuration affecting smoothing behavior
Usage Notes
Useful for filtering noise during volatile or choppy markets
ATR bands can help confirm stronger breakouts or trend continuation
Trend logic modes allow adaptation to different trading styles
Suitable for swing trading, trend-following, and position trading approaches
Can act as dynamic support or resistance in trending markets
Works well when combined with momentum or volume confirmation tools
Summary
Outlier Resistant Moving Average offers a volatility-aware trend reference that helps traders remain aligned with broader price movement while minimizing disruptions from sudden price spikes. It is especially useful for traders seeking smoother trend identification without sacrificing adaptability.
Neural Probability Channel [AlgoPoint]The Neural Probability Channel (NPC) is a next-generation volatility and trend analysis tool designed to overcome the limitations of traditional bands (like Bollinger Bands) and smoothing filters (like standard Moving Averages).
Unlike traditional indicators that rely on linear deviation or simple averages, the NPC utilizes a Rational Quadratic Kernel—a concept derived from machine learning regression models—to calculate a non-repainting, highly adaptive baseline (Fair Value). This allows the indicator to distinguish between market noise and genuine trend shifts with superior accuracy.
The volatility bands are dynamically calculated using a hybrid of Standard Error (Mean Deviation) and ATR, ensuring the channels adapt organically to market conditions—expanding during high-impact moves and contracting during consolidation.
How It Works
- The Neural Baseline (Center Line): Instead of a standard Moving Average, the NPC uses a Rational Quadratic Kernel weighting system. This assigns "importance" to price data based on both recency and similarity. It acts as a "Center of Gravity" for price, providing a smoother yet responsive trend detection line without the lag associated with SMAs or EMAs.
Crucially, the math is causal (no lookahead), meaning it does not repaint.
- Adaptive Volatility Bands: The channel width is not fixed. It uses a Hybrid Volatility Model:
- Inner Channel: Represents the "Probability Zone" (approx. 70% confidence). Price staying here indicates a stable trend.
- Outer Channel: Represents "Extreme Deviation" (Statistical Anomalies). When price touches or breaches these outer bands, it is statistically overextended (Overbought/Oversold).
Signal Generation:
- Reversion Signals: Generated when price breaches the Outer Bands and closes back inside. This suggests a "Snap-back" or Mean Reversion event.
- Trend Confirmation: The color of the baseline and the fill zones changes based on the slope of the Kernel, giving an instant visual read on market bias.
How to Use It
- Mean Reversion Strategy: Look for price action extending beyond the Outer Bands (Thinner lines). If price leaves a wick and closes back inside, it signals a high-probability reversal toward the Neural Baseline.
- Green Signal: Potential Long (Reversal from Lows).
- Red Signal: Potential Short (Reversal from Highs).
- Trend Following: Use the Neural Baseline (Thick Center Line) as a dynamic support/resistance level.
If price is holding above the baseline and the cloud is green, the trend is Bullish.
If price is holding below the baseline and the cloud is red, the trend is Bearish.
- Squeeze Detection: When the Inner and Outer bands compress significantly, it indicates low volatility and often precedes an explosive breakout.
Settings
- Lookback Window: Determines the depth of the Kernel analysis.
- Smoothness (Bandwidth): Higher values create a smoother baseline (better for trends), while lower values make it more reactive (better for scalping).
- Regression Alpha: Controls the weight distribution of the Kernel.
- Channel Multipliers: Adjust the width of the Inner and Outer bands to fit your specific asset's volatility profile.
Daily ATR & Market Cap DisplayDaily ATR & Market Cap Display:
Displays daily ATR percentage with color-coded volatility alerts (🟢 0-4%, 🟡 4-8%, 🔴 8%+) and market cap with size indicators (🔴 <1B, 🟡 1-5B, 🟢 5B+).
Features:
- Daily ATR remains constant across all timeframes
- Customizable position (9 locations + vertical offset)
- Adjustable text size and colors
- Clean, fixed on-screen display
VIX-Market Stress & Volatility OscillatorVIXATA is a specialized sentiment tool designed to transform raw VIX data into a structured oscillator. By using fixed threshold levels, it identifies specific zones of market "complacency" and "extreme panic," helping traders spot potential market reversals with higher precision.
Technical Logic & Levels
Unlike standard VIX charts, VIXATA focuses on key psychological and technical levels to categorize market stress:
Level 20 (Green Dashed Line): The "Confidence Zone." Indicates a stable market where risk appetite is generally high.
Level 25-30 (Yellow/Orange Zones): The "Caution Zone." Volatility is rising, suggesting that the market is becoming unsettled.
Level 30 (Red Solid Line): The "High Stress" threshold. Historically, when VIXATA crosses this line, market fear is significant.
Level 40+ (Purple Solid Line): The "Extreme Panic" zone. These peaks often correlate with major price capitulations and long-term bottoming signals.
Fibonacci Pivot OscillatorFIB PIVOT OSCILLATOR - Price Position Indicator
See exactly WHERE your price sits between Fibonacci pivot levels. This oscillator normalizes price position relative to classic Pivot Points, giving you a clear view of market structure.
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📊 WHAT DOES IT DO?
Instead of cluttering your chart with multiple pivot lines, this indicator displays a single oscillator showing WHERE price is within the pivot range. Instantly see if price is in support or resistance territory.
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⚙️ HOW IT WORKS
1. Calculates Standard Pivot Point from previous period:
Pivot = (High + Low + Close) / 3
2. Applies Fibonacci ratios to determine Support/Resistance levels:
• R1/S1 = Pivot ± (Range × 38.2%)
• R2/S2 = Pivot ± (Range × 61.8%)
• R3/S3 = Pivot ± (Range × 100%)
3. Normalizes current price position on a fixed scale:
• +100 = Price at R3 (100% Fib extension)
• +61.8 = Price at R2
• +38.2 = Price at R1
• 0 = Price at Pivot Point
• -38.2 = Price at S1
• -61.8 = Price at S2
• -100 = Price at S3
4. Adds a 9-period EMA signal line for momentum confirmation
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🎯 SIGNALS
- BUY: Price crosses ABOVE the Pivot (oscillator crosses above 0)
- SELL: Price crosses BELOW the Pivot (oscillator crosses below 0)
- Optional: Display all Fibonacci level crossings
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📈 HOW TO USE
- Oscillator > 0 → Price in RESISTANCE zone (bullish bias)
- Oscillator < 0 → Price in SUPPORT zone (bearish bias)
- Extreme values (±100) → Price at major Fib levels, watch for reversals
- Histogram color intensity reflects momentum strength
- Use signal line crossovers for additional confirmation
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⚙️ SETTINGS
- Period: Daily, Weekly, or Monthly pivot calculation
- Display: Toggle histogram, position line, zones, info table
- Signals: Show/hide BUY/SELL and secondary Fib crossings
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🔔 ALERTS INCLUDED
- Pivot crossover (main BUY/SELL)
- R1, R2, R3 breakouts
- S1, S2, S3 breakdowns
Volatility & Probability by Hour/DayVolatility & Probability by Hour/Day
Analyzes historical candle data to find statistically significant time-based patterns. Tracks green candle probability, volatility, and average returns broken down by hour (UTC), day of week, and their combinations.
What It Shows:
Hourly Table: P(Green), edge, volatility, and average return for each hour (00:00-23:00 UTC)
Day of Week Table: Same metrics aggregated by day (Sun-Sat)
Top Combinations: The 5 best bullish and 5 best bearish day+hour slots ranked by edge
Key Metrics:
P(Grn): Historical probability the candle closes green
Edge: Deviation from 50% (how tradeable the bias is)
Vol%: Average candle range as percentage of price
N: Sample size
Use Cases:
Identify optimal entry windows with statistical edge
Avoid low-edge, high-volatility periods (noise)
Find specific day+hour combinations with compounding edges
Time trades around recurring market patterns
Notes:
All times in UTC
Current period highlighted with ►
Best results on liquid assets with sufficient history
Edges are historical and not guaranteed to persist
