Perfect Price-Anchored % Fib Grid This indicator generates support and resistance levels anchored to a fixed price of your choice.
You can also specify a percentage for the indicator to calculate potential highs and lows.
Commonly used values are 3.5% or 7%, as well as smaller decimal versions like 0.35% or 0.7%, depending on the volatility you expect.
In addition, the indicator can highlight potential stop-run levels in multiples of 27 — ranging from 0 up to 243. This automatically places the 243 GB range directly onto your chart.
The tool is versatile and can be applied not only to equities, but also to ES futures and Forex markets.
Volatility
AlphaRSI Pro - Adaptive RSI with Trend AnalysisOverview
AlphaRSI Pro is a technical analysis indicator that enhances the traditional RSI by incorporating adaptive overbought/oversold levels, trend bias analysis, and divergence detection. This indicator addresses common limitations of standard RSI implementations through mathematical adaptations to market volatility.
Technical Methodology
1. Smoothed RSI Calculation
Applies weighted moving average smoothing to standard RSI(14)
Reduces noise while preserving momentum signals
Configurable smoothing period (default: 3)
2. Adaptive Level System
Mathematical Approach:
Calculates ATR-based volatility ratio: volatility_ratio = current_ATR / average_ATR
Applies dynamic adjustment: adaptive_level = base_level ± (volatility_ratio - 1) × 20
Bounds levels between practical ranges (15-35 for oversold, 65-85 for overbought)
Purpose: Adjusts RSI sensitivity based on current market volatility conditions rather than using fixed 70/30 levels.
3. Trend Bias Integration
Uses Simple Moving Average slope analysis over configurable period
Calculates trend strength: |slope / price| × 100
Provides visual background shading for trend context
Filters RSI signals based on underlying price trend direction
4. Signal Generation Logic
Entry Conditions:
Bullish: RSI crosses above adaptive oversold level
Bearish: RSI crosses below adaptive overbought level
Strong signals: Include trend bias confirmation
Enhancement over standard RSI: Reduces false signals in choppy markets by requiring trend alignment for "strong" signals.
5. Divergence Detection
Automated identification of regular bullish/bearish divergences
Uses 5-bar lookback for pivot detection
Compares price highs/lows with corresponding RSI highs/lows
Plots divergence markers when conditions are met
Key Features
Real-time adaptive levels based on volatility
Trend-filtered signals to improve reliability
Built-in divergence scanner
Information dashboard showing current values
Comprehensive alert system
Clean visual presentation with customizable colors
Usage Guidelines
This indicator works best when:
Combined with proper risk management
Used in conjunction with other technical analysis
Applied to liquid markets with sufficient volatility data
Configured appropriately for the selected timeframe
Input Parameters
RSI Period: Standard RSI calculation length (default: 14)
Smoothing Period: WMA smoothing for noise reduction (default: 3)
Volatility Lookback: Period for ATR volatility calculation (default: 50)
Base OB/OS Levels: Starting points for adaptive adjustment (70/30)
Trend Period: Moving average length for trend bias (default: 21)
Alert Conditions
Bullish Signal: RSI crosses above adaptive oversold
Bearish Signal: RSI crosses below adaptive overbought
Strong Bullish/Bearish: Signals with trend confirmation
Divergence Alerts: Automated divergence detection
Educational Value
This indicator demonstrates several advanced Pine Script concepts:
Dynamic level calculation using mathematical formulas
Multi-timeframe analysis integration
Conditional signal filtering based on market state
Table display for real-time information
Comprehensive alert system implementation
Limitations
Requires sufficient historical data for volatility calculations
May generate fewer signals in very low volatility environments
Trend bias effectiveness depends on selected MA period
Divergences may not always lead to immediate reversals
Disclaimer
This indicator is for educational and analysis purposes. Past performance does not guarantee future results. Always use proper risk management and consider multiple forms of analysis before making trading decisions.
Sentinel 5 — OHL daybreak signals [KedArc Quant]Overview
Sentinel 5 plots the first-bar high/low of each trading session and gives clean, rules-based signals in two ways:
1) OHL Setups at the close of the first bar (Open equals/near High for potential short; Open equals/near Low for potential long).
2) Breakout Signals later in the session when price breaks the first-bar High/Low, with optional body/penetration filters.
Basic workflow
1. Wait for the first session bar to finish.
*If O≈H (optionally by proximity) → short setup. •
*If O≈L → long setup. • If neither happens, optionally allow later breakouts.
2. Optional: Act only on breakouts that penetrate a minimum % of that bar’s range/body.
3. Skip the day automatically if the first bar is abnormally large (marubozu-like / extreme ATR / outsized vs yesterday).
Signals & Markers
Markers on the chart:
▲ O=L (exact) / O near L (proximity) – long setup at first-bar close.
▼ O=H (exact) / O near H (proximity) – short setup at first-bar close.
▲ Breakout Long – later bar breaks above first-bar High meeting your penetration rule.
▼ Breakout Short – later bar breaks below first-bar Low meeting your penetration rule.
Mean Reversion Channel [QuantAlgo]🟢 Overview
The Mean Reversion Channel indicator is a range-bound trading system that combines dynamic price channels with momentum-weighted analysis to identify optimal mean reversion opportunities. It creates adaptive upper and lower reversion zones based on recent price action and volatility, while incorporating a momentum-biased equilibrium line that shifts based on volume-weighted price momentum. This creates a three-tier system where traders and investors can identify overbought and oversold conditions within established ranges, detect momentum exhaustion points, and anticipate channel breakouts or breakdowns. This indicator is particularly valuable for strategic dollar cost averaging (DCA) strategies, as it helps identify optimal accumulation zones during oversold conditions and provides tactical risk management levels for systematic investment approaches across different market conditions and asset classes.
🟢 How It Works
The indicator employs a four-stage calculation process that transforms raw price and volume data into actionable mean reversion signals. First, it establishes the base channel by calculating the highest high and lowest low over a user-defined lookback period, creating the foundational price range for mean reversion analysis. This channel adapts continuously as new price data becomes available, ensuring the system remains relevant to current market conditions.
In the second stage, the system calculates volume-weighted momentum by combining price momentum with volume activity. The momentum calculation takes the price change over a specified period and multiplies it by the volume ratio (current volume versus 20-period average volume, for instance) and a volume factor multiplier. This creates momentum readings that are more significant during high-volume periods and less influential during low-volume conditions.
The third stage creates the dynamic reversion zones using Average True Range (ATR) calculations. The upper reversion zone is positioned below the channel high by an ATR-based distance, while the lower reversion zone is positioned above the channel low. These zones contract when momentum is negative (upper zone) or positive (lower zone), creating asymmetric reversion bands that adapt to momentum conditions.
The final stage establishes the momentum-biased equilibrium line by calculating the midpoint between the reversion zones and adjusting it based on momentum bias. When momentum is positive, the equilibrium shifts upward; when negative, it shifts downward. This creates a dynamic reference level that helps identify when price action is moving against the prevailing momentum trend, signaling potential mean reversion opportunities.
🟢 How to Use
1. Mean Reversion Signal Identification
Lower Reversion Zone Signals: When price reaches or falls below the lower reversion zone with bearish momentum, the system generates potential long/buy entry signals indicating oversold conditions within the established range.
Upper Reversion Zone Signals: When price reaches or exceeds the upper reversion zone with bullish momentum, the system generates potential short/sell entry signals indicating overbought conditions.
2. Equilibrium Line Analysis and Momentum Exhaustion
Equilibrium Breaks: The dynamic equilibrium line serves as a momentum bias indicator within the channel. Price crossing above equilibrium suggests shifting to bullish bias, while breaks below indicate bearish bias development within the mean reversion framework.
Momentum Exhaustion Signals: The system identifies momentum exhaustion when price breaks through the equilibrium line opposite to the prevailing momentum direction. Bullish exhaustion occurs when price falls below equilibrium despite positive momentum, while bearish exhaustion happens when price rises above equilibrium during negative momentum periods.
3. Channel Expansion and Breakout Detection
Channel Boundary Breaks: When price breaks above the upper reversion zone or below the lower reversion zone, it signals potential channel expansion or false breakout conditions. These events often precede significant trend changes or range expansion phases.
Range Expansion Alerts: Breaks above the channel high or below the channel low indicate potential breakout from the mean reversion range, suggesting trend continuation or new directional movement beyond the established boundaries.
🟢 Pro Tips for Trading and Investing
→ Strategic DCA Optimization: Use the lower reversion zone as primary accumulation levels for dollar cost averaging strategies. When price reaches oversold conditions with bearish momentum exhaustion signals, it often represents optimal entry points for systematic investment programs, allowing investors to accumulate positions at statistically favorable price levels within the established range.
→ DCA Pause and Acceleration Signals : Monitor equilibrium line breaks to adjust DCA frequency and amounts. When price consistently trades below equilibrium with momentum exhaustion signals, consider accelerating DCA intervals or increasing investment amounts. Conversely, when price reaches upper reversion zones, consider pausing or reducing DCA activity until more favorable conditions return.
→ Momentum Divergence Detection: Watch for divergences between price action and momentum readings within the channel. When price makes new lows but momentum shows improvement, or price makes new highs with deteriorating momentum, these signal high-probability mean reversion setups ideal for contrarian investment approaches.
→ Alert-Based Systematic Investing/Trading: Utilize the comprehensive alert system for automated DCA triggers. Set up alerts for lower reversion zone touches combined with momentum exhaustion signals to create systematic entry points that remove emotional decision-making from long-term investment strategies, particularly effective for volatile assets where timing improvements can significantly impact overall returns.
Planetary Angles - CEPlanetary Angles - Community Edition
Welcome to the Planetary Angles - Community Edition, a dynamic tool designed to enhance W.D. Gann-inspired trading by pinpointing dates when a selected planet reaches a user-defined ecliptic longitude angle. This feature-complete indicator provides traders with precise astrological timing for market analysis across equities, forex, commodities, and cryptocurrencies. It empowers traders to integrate celestial events into their strategies with ease.
Overview
The Planetary Angles - Community Edition calculates and plots vertical lines on your chart to mark dates when a chosen planet (Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, or Pluto) crosses a specific longitude angle (0° to 359.99°) in either heliocentric or geocentric mode. With customizable line and label styling, this script highlights key astrological moments, helping traders identify potential market turning points based on Gann’s time-theory principles. It supports multiple instances on a single chart, offering flexibility for multi-planet analysis.
Key Features
Custom Angle Selection : Choose any ecliptic longitude angle (0° to 359.99°) to track when a planet crosses that precise degree.
Planetary Coverage : Supports eight planets (Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto) for comprehensive astrological analysis.
Heliocentric and Geocentric Modes : Toggle between heliocentric and geocentric calculations to align with your preferred perspective.
Styling Options : Customize line styles (solid, dotted, dashed) and colors for lines and labels, with options to enable/disable lines and text for clarity.
Labeled Visuals : Displays labeled markers (e.g., “☿ 90°”) on the chart, with tooltips for easy identification of planetary angle crossings.
Multi-Instance Support : Add the script multiple times to track different planets or angles simultaneously on the same chart.
How It Works
Open Settings : Access the script’s settings to configure your preferences.
Enable the Script : Check the box to activate Planetary Angles.
Select a Planet : Choose from Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, or Pluto.
Set the Angle : Input a specific ecliptic longitude angle (0° to 359.99°) to track.
Choose Planetary Mode : Select heliocentric or geocentric mode for the calculations.
Customize Styling : Adjust line and label styles and colors, and enable/disable lines or labels as needed.
Analyze and Trade : Observe the plotted vertical lines and labels to identify when the selected planet crosses the chosen angle, using these moments to inform your trading strategy.
Get Started
As a gift to the TradingView community and Gann traders, the Planetary Angles - Community Edition is provided free of charge. With no features locked, this tool offers full access to precise planetary angle tracking for enhanced market timing. Trade wisely and leverage the cosmic precision of Gann’s methodology!
Retrograde Planets - CERetrograde Planets - Community Edition
Welcome to the Retrograde Planets - Community Edition, a specialized tool designed to empower traders with W.D. Gann’s time-theory principles by highlighting planetary retrograde cycles. This feature-complete indicator allows traders to visualize critical retrograde periods for market analysis across equities, forex, commodities, and cryptocurrencies. As a seamless add-on to the Gann ToolBox, it enhances time-based trading strategies with precision and clarity.
Overview
The Retrograde Planets - Community Edition identifies and highlights retrograde cycles for Mercury, Venus, Mars, Jupiter, Saturn, Uranus, and Neptune, key periods often associated with market volatility and trend shifts in Gann’s methodology. By calculating ecliptic longitudes with high accuracy, the script plots historical and future retrograde periods (up to 365 days ahead) on your chart, complete with visual highlights and labels. This tool is ideal for traders leveraging astrological cycles to anticipate market turning points.
Key Features
Retrograde Cycle Highlighting : Displays retrograde periods for Mercury, Venus, Mars, Jupiter, Saturn, Uranus, and Neptune, marking start and end points with vertical lines and labels.
Historical and Future Projections : Visualizes past retrograde cycles and projects future ones up to a year in advance with minute-level precision.
Customizable Planet Selection : Choose from seven planets to focus on specific retrograde cycles relevant to your analysis.
24/7 Market Optimization : Enable extended future data for continuous markets like crypto, improving performance and projection accuracy.
Styling Flexibility : Customize the highlight color for retrograde periods to enhance chart clarity and align with your visual preferences.
Labeled Visuals : Includes labels (e.g., “℞ Starts,” “℞ Ends”) with tooltips for easy identification of retrograde cycle boundaries.
How It Works
Open Settings : Access the script’s settings to configure your preferences.
Select a Planet : Choose from Mercury, Venus, Mars, Jupiter, Saturn, Uranus, or Neptune to analyze its retrograde cycles.
Enable Retrograde Cycles : Check the box to activate retrograde highlighting for the selected planet.
Customize Highlight Color : Adjust the color of the highlighted retrograde periods for better chart visibility.
Enable 24/7 Mode (Optional) : For crypto or continuous markets, activate the 24/7 setting to include extended future data.
Analyze and Trade : Use the highlighted retrograde periods and labeled lines to identify potential market volatility or trend changes, integrating Gann’s time-theory into your strategy.
Get Started
As a gift to the TradingView community and Gann traders, the Retrograde Planets - Community Edition is provided free of charge. With no features locked, this tool offers full access to retrograde cycle analysis for precise market timing. Trade wisely and harness the power of planetary cycles!
Gann Seasonal Dates - CEGann Seasonal Dates - Community Edition
Welcome to the Gann Seasonal Dates V1.61 - Community Edition, a powerful tool designed to enhance time-based trading with W.D. Gann’s seasonal date methodology. This feature-complete indicator allows traders to plot critical seasonal dates on charts for equities, forex, commodities, and cryptocurrencies. It empowers traders to anticipate market turning points with precision.
Overview
The Gann Seasonal Dates plots Gann’s major and minor seasonal dates, which are rooted in the cyclical nature of solstices, equinoxes, and their midpoints. Major dates include the vernal equinox (March 21st), summer solstice (June 22nd), autumnal equinox (September 23rd), and winter solstice (December 22nd). Minor dates mark the halfway points between these events (February 4th, May 6th, July 23rd, August 8th, November 7th, and November 22nd). With customizable styling and historical data up to 50 years, this script helps traders identify key time-based market events.
Key Features
Major and Minor Seasonal Dates : Plot four major dates (solstices and equinoxes) and six minor dates (midpoints) to highlight potential market turning points.
Customizable Date Selection : Enable or disable individual major and minor dates to focus on specific cycles relevant to your analysis.
Historical Data Range : Adjust the lookback period up to 50 years, with recommendations for optimal performance based on your TradingView plan (5 years for Basic, 20 for Pro/Pro+/Premium).
Styling Options : Customize line styles (solid, dotted, dashed) and colors for major and minor dates to enhance chart clarity.
Labeled Visuals : Each plotted date includes a label with a tooltip (e.g., "Vernal equinox") for easy identification and context.
How It Works
Configure Settings : Enable major and/or minor dates and select specific dates (e.g., March 21st, February 4th) to display on your chart.
Set Historical Range : Adjust the years of data (up to 50) to plot historical seasonal dates, ensuring compatibility with your TradingView plan’s processing limits.
Customize Styling : Choose line styles and colors for major and minor dates to differentiate them visually.
Analyze and Trade : Use the plotted vertical lines and labels to identify potential market turning points, integrating Gann’s time-based cycles into your strategy.
Get Started
As a gift to the TradingView community and Gann traders, the Gann Seasonal Dates - Community Edition is provided free of charge. With no features locked, this tool offers full access to Gann’s seasonal date methodology for precise time-based analysis. Trade wisely and leverage the power of seasonal cycles!
Universal Trend+ [BackQuant]Universal Trend+
This indicator blends several well-known technical ideas into a single composite trend and momentum model. It can be show primarily as an overlay or a oscillator:
In which it produces two things:
a composite oscillator that summarizes multiple signals into one normalized score
a regime signal rendered on the chart as a colored ribbon with optional 𝕃 and 𝕊 markers
The goal is to simplify decision-making by having multiple, diverse measurements vote in a consistent framework, rather than relying on any single indicator in isolation.
What it does
Computes five independent components, each reading a different aspect of price behavior
Converts each component into a standardized bullish / neutral / bearish vote
Averages the available votes to a composite score
Compares that score to user thresholds to label the environment bullish, neutral, or bearish
Colors a fast/slow moving-average ribbon by the current regime, optionally paints candles, and can plot the composite oscillator in a lower pane
The five components (conceptual)
1)RSI Momentum Bias
A classic momentum gauge on a selectable source and lookback. The component emphasizes whether conditions are persistently strong or weak and applies a neutral buffer to avoid reacting to trivial moves. Output is expressed as a vote: bullish, neutral, or bearish.
2) Rate-of-Change Impulse
A smoothed rate-of-change that focuses on short bursts in acceleration. It is used to detect impulsive pushes rather than slow drift. Extreme readings cast a directional vote, mid-range readings abstain.
3) EMA Oscillator
A slope-style trend gauge formed by contrasting a fast and a slow EMA on a chosen source, normalized so that the sign and relative magnitude matter more than absolute price. A small dead-zone reduces whipsaws.
4) T3-Based Normalized Oscillator
A T3 smoother is transformed into a bounded oscillator via rolling normalization, then optionally smoothed by a user-selectable MA. This highlights directional drift while keeping scale consistent across symbols and regimes.
5) DEMA + ATR Bands State
A double-EMA core is wrapped in adaptive ATR bands to create a stepping state that reacts when pressure exceeds a volatility envelope. The component contributes an event-style vote on meaningful shifts.
Each component is designed to measure something different: trend slope, momentum impulse, normalized drift, and volatility-aware pressure. Their diversity is the point.
Composite scoring model
Standardization: Each component is mapped to -1 (bearish), 0 (neutral), or +1 (bullish) using bands and guards to cut noise.
Aggregation: The composite score is the average of the available votes. If a component is inactive on a bar, the composite uses the votes that are present.
Decision layer: Two user thresholds define your action bands.
Above the upper band → bullish regime
Below the lower band → bearish regime
Between the bands → neutral
This separation between measurement, aggregation, and decision avoids over-fitting any single threshold and makes the tool adaptable across assets and timeframes.
Plots and UI
Composite oscillator (optional lower pane): A normalized line that trends between bearish and bullish zones with user thresholds drawn for context.
Signal ribbon (on price): A fast/slow MA pair tinted by the current regime to give an at-a-glance market state.
Markers: Optional 𝕃 and 𝕊 labels when the regime flips.
Candle painting and background tint: Optional visual reinforcement of state.
Color and style controls: User inputs for long/short colors, threshold line color, and visibility toggles.
How it can be used
1) Regime filter
Use the composite regime to define bias. Trade only long in a bullish regime, only short in a bearish regime, and stand aside or scale down in neutral. This simple filter often reduces whipsaw.
2) Confirmation layer
Keep your entry method the same (breaks, pullbacks, liquidity sweeps, order-flow cues) but require agreement from the composite regime or a fresh flip in the 𝕃/𝕊 markers.
3) Momentum breakouts
Look for the composite oscillator to leave neutrality while the EMA oscillator is already positive and the ATR-band state has flipped. Confluence across components is the intent.
4) Pullback entries within trend
In a bullish regime, consider entries on shallow composite dips that recover before breaching the lower band. Reverse the logic in a bearish regime.
5) Exits and risk
Common choices are:
reduce on a return to neutral,
exit on an opposite regime flip, or
trail behind your own stop model (ATR, structure, session levels) while using the ribbon for context.
6) Multi-timeframe workflow
Select a higher timeframe for bias with this indicator, and time executions on a lower timeframe. The indicator itself stays on a single chart; you can load a second chart or pane if you prefer a strict top-down process.
Strengths
Diversified evidence: Five independent perspectives keep the model from hinging on one idea.
Noise control: Neutral buffers and a composite layer reduce reaction to minor wiggles.
Clarity: A single oscillator and a clearly colored ribbon present a complex assessment in a simple form.
Adaptable: Thresholds and lookbacks let you tune for faster or slower markets.
Practical tuning
Thresholds: Wider bands produce fewer regime flips and longer holds. Narrower bands increase sensitivity.
Lookbacks: Shorter lookbacks emphasize recent action; longer lookbacks emphasize stability.
T3 normalization window and volume factor: Increase the window to suppress noise on choppy symbols; tweak the factor to adjust the smoother’s response.
ATR factor for the band state: Raise it to demand more decisive pressure before registering a shift; lower it to respond earlier.
Alerts
Built-in alerts trigger when the regime flips long or short. If you prefer confirmed signals, set your alerts to bar close on your timeframe. Intrabar the composite can move with price; bar-close confirmation stabilizes behavior.
Limitations
Sideways markets: Even with buffers, any trend model can chop in range-bound conditions.
Lag vs sensitivity trade-off: Tighter thresholds react faster but flip more often; wider thresholds are steadier but later.
Asset specificity: Volatility regimes differ. Expect to retune ATR and normalization settings when switching symbols or timeframes.
Final Remarks
Universal Trend+ is meant to act like a disciplined voting committee. Each component contributes a different angle on the same underlying question: is the market pressing up, pressing down, or doing neither with conviction. By standardizing and aggregating those views, you get a single regime read that plays well with many entry styles and risk frameworks, while keeping the heavy math under the hood.
ATR% | Volatility NormalizerThis indicator measures true volatility by expressing the Average True Range (ATR) as a percentage of price. Unlike basic ATR plots, which show raw values, this version normalizes volatility to make it directly comparable across instruments and timeframes.
How it works:
Uses True Range (High–Low plus gaps) to capture actual market movement.
Normalizes by dividing ATR by the chosen price base (default: Close).
Multiplies by 100 to output a clean ATR% line.
Smoothing is flexible: choose from RMA, SMA, EMA, or WMA.
Optional Feature:
For comparison, you can toggle an auxiliary line showing the average absolute close-to-close % move, highlighting the difference between simplified and true volatility.
Why use it:
Track regime shifts: identify when volatility expands or contracts in % terms.
Compare volatility across different markets (equities, crypto, forex, commodities).
Integrate into risk management: position sizing, stop placement, or volatility filters for entries.
Interpretation:
Rising ATR% → expanding volatility, potential breakouts or unstable ranges.
Falling ATR% → contracting volatility, possible consolidation or range-bound conditions.
Sudden spikes → market “shocks” worth paying attention to.
News Volatility Bracketing StrategyThis is a news-volatility bracketing strategy. Five seconds before a scheduled release, the strategy brackets price with a buy-stop above and a sell-stop below (OCO), then converts the untouched side into nothing while the filled side runs with a 1:1 TP/SL set the same distance from entry. Distances are configurable in USD or %, so it scales to the instrument and can run on 1-second data (or higher TF with bar-magnifier). The edge it’s trying to capture is the immediate, one-directional burst and liquidity vacuum that often follows market-moving news—entering on momentum rather than predicting direction. Primary risks are slippage/spread widening and whipsaws right after the print, which can trigger an entry then snap back to the stop.
Volatility % Bands (O→C)Volatility % Bands (O→C) is an indicator designed to visualize the percentage change from Open to Close of each candle, providing a clear view of short-term momentum and volatility.
**Histogram**: Displays bar-by-bar % change (Close vs Open). Green bars indicate positive changes, while red bars indicate negative ones, making momentum shifts easy to identify.
**Moving Average Line**: Plots the Simple Moving Average (SMA) of the absolute % change, helping traders track the average volatility over a chosen period.
**Background Bands**: Based on the user-defined Level Step, ±1 to ±5 zones are highlighted as shaded bands, allowing quick recognition of whether volatility is low, moderate, or extreme.
**Label**: Shows the latest candle’s % change and the current SMA value as a floating label on the right, making it convenient for real-time monitoring.
This tool can be useful for volatility breakout strategies, day trading, and short-term momentum analysis.
Peak Reversal v3# Peak Reversal v3
## Summary
Peak Reversal v3 adds new configurability, clearer visuals, and a faster trader workflow. The release introduces a new Squeeze Detector , expanded Keltner Channels , and streamlined Momentum signals , with no repaints and improved performance. The menus have been reorganized and simplified. Color swatches have been added for better customization. All other colors will be derived from these swatches.
## Highlights
New Squeeze Detector to mark low-volatility periods and prepare for breakouts.
New: Bands are now fully configurable with independent MA length, ATR length, and multipliers.
Five moving average bases for bands: EMA (from v2), SMA, RMA, VMA, HMA.
Simplified color system: three swatches drive candles, on-chart marks, and band fill.
Reorganized menu with focused sections and tooltips for each parameter making the entire trader experience more intuitive.
No repaints and faster performance across calculations.
## Overview
Configuration : Pick from three color swatches and apply them to candles, plotted characters, and band fill for consistent chart context. Use the reorganized menu to reach Keltner settings, momentum signals, and squeeze detection without extra clicks; tooltips clarify each input.
Bands and averages: Choose the band basis from EMA, SMA, RMA, VMA, or HMA to match your strategy. Configure two bands independently by setting MA length, ATR length, and band multipliers for the inner and outer envelopes.
Signals : Select the band responsible for momentum signals. Choose wick or close as the price source for entries and exits. Control the window for extreme momentum with “Max Momentum Bars,” a setting now exposed in v3 for direct tuning.
Squeeze detection : The Squeeze Detector normalizes band width and uses percentile ranking to highlight volatility compression. When the market falls below a user-defined threshold, the indicator colors the region with a gradient to signal potential expansion.
## Details about major features and changes
### New
Squeeze Detector to highlight low-volatility conditions.
Five MA bases for bands: EMA, SMA, RMA, VMA, HMA.
“Max Momentum Bars” to cap the bars used for extreme momentum.
### Keltner channel improvements
Refactored Keltner settings for flexible inner and outer band control.
MA type selection added; band calculations updated for consistency.
Removed the third Keltner band to reduce noise and simplify setup.
### Display and signals
Gradient fills for band breakouts, mean deviations, and squeeze periods.
“Show Mean EMA?” set to true and default “Signal Band” set to “Inner.”
Clearer tooltips and input descriptions.
### Reliability and performance
No more repaints. The indicator waits for confirmation before drawing occurs.
Faster execution through targeted refactors.
All algorithms have been reviewed and now use a consistent logic, naming, and structure.
Advanced Range Analyzer ProAdvanced Range Analyzer Pro – Adaptive Range Detection & Breakout Forecasting
Overview
Advanced Range Analyzer Pro is a comprehensive trading tool designed to help traders identify consolidations, evaluate their strength, and forecast potential breakout direction. By combining volatility-adjusted thresholds, volume distribution analysis, and historical breakout behavior, the indicator builds an adaptive framework for navigating sideways price action. Instead of treating ranges as noise, this system transforms them into opportunities for mean reversion or breakout trading.
How It Works
The indicator continuously scans price action to identify active range environments. Ranges are defined by volatility compression, repeated boundary interactions, and clustering of volume near equilibrium. Once detected, the indicator assigns a strength score (0–100), which quantifies how well-defined and compressed the consolidation is.
Breakout probabilities are then calculated by factoring in:
Relative time spent near the upper vs. lower range boundaries
Historical breakout tendencies for similar structures
Volume distribution inside the range
Momentum alignment using auxiliary filters (RSI/MACD)
This creates a live probability forecast that updates as price evolves. The tool also supports range memory, allowing traders to analyze the last completed range after a breakout has occurred. A dynamic strength meter is displayed directly above each consolidation range, providing real-time insight into range compression and breakout potential.
Signals and Breakouts
Advanced Range Analyzer Pro includes a structured set of visual tools to highlight actionable conditions:
Range Zones – Gradient-filled boxes highlight active consolidations.
Strength Meter – A live score displayed in the dashboard quantifies compression.
Breakout Labels – Probability percentages show bias toward bullish or bearish continuation.
Breakout Highlights – When a breakout occurs, the range is marked with directional confirmation.
Dashboard Table – Displays current status, strength, live/last range mode, and probabilities.
These elements update in real time, ensuring that traders always see the current state of consolidation and breakout risk.
Interpretation
Range Strength : High scores (70–100) indicate strong consolidations likely to resolve explosively, while low scores suggest weak or choppy ranges prone to false signals.
Breakout Probability : Directional bias greater than 60% suggests meaningful breakout pressure. Equal probabilities indicate balanced compression, favoring mean-reversion strategies.
Market Context : Ranges aligned with higher timeframe trends often resolve in the dominant direction, while counter-trend ranges may lead to reversals or liquidity sweeps.
Volatility Insight : Tight ranges with low ATR imply imminent expansion; wide ranges signal extended consolidation or distribution phases.
Strategy Integration
Advanced Range Analyzer Pro can be applied across multiple trading styles:
Breakout Trading : Enter on probability shifts above 60% with confirmation of volume or momentum.
Mean Reversion : Trade inside ranges with high strength scores by fading boundaries and targeting equilibrium.
Trend Continuation : Focus on ranges that form mid-trend, anticipating continuation after consolidation.
Liquidity Sweeps : Use failed breakouts at boundaries to capture reversals.
Multi-Timeframe : Apply on higher timeframes to frame market context, then execute on lower timeframes.
Advanced Techniques
Combine with volume profiles to identify areas of institutional positioning within ranges.
Track sequences of strong consolidations for trend development or exhaustion signals.
Use breakout probability shifts in conjunction with order flow or momentum indicators to refine entries.
Monitor expanding/contracting range widths to anticipate volatility cycles.
Custom parameters allow fine-tuning sensitivity for different assets (crypto, forex, equities) and trading styles (scalping, intraday, swing).
Inputs and Customization
Range Detection Sensitivity : Controls how strictly ranges are defined.
Strength Score Settings : Adjust weighting of compression, volume, and breakout memory.
Probability Forecasting : Enable/disable directional bias and thresholds.
Gradient & Fill Options : Customize range visualization colors and opacity.
Dashboard Display : Toggle live vs last range, info table size, and position.
Breakout Highlighting : Choose border/zone emphasis on breakout events.
Why Use Advanced Range Analyzer Pro
This indicator provides a data-driven approach to trading consolidation phases, one of the most common yet underutilized market states. By quantifying range strength, mapping probability forecasts, and visually presenting risk zones, it transforms uncertainty into clarity.
Whether you’re trading breakouts, fading ranges, or mapping higher timeframe context, Advanced Range Analyzer Pro delivers a structured, adaptive framework that integrates seamlessly into multiple strategies.
BB Expansion Oscillator (BEXO)BB Expansion Oscillator (BEXO) is a custom indicator designed to measure and visualize the expansion and contraction phases of Bollinger Bands in a normalized way.
🔹 Core Features:
Normalized BB Width: Transforms Bollinger Band Width into a 0–100 scale for easier comparison across different timeframes and assets.
Signal Line: EMA-based smoothing line to detect trend direction shifts.
Histogram: Highlights expansion vs contraction momentum.
OB/OS Zones: Detects Over-Expansion and Over-Contraction states to spot potential volatility breakouts or squeezes.
Dynamic Coloring & Ribbon: Visual cues for trend bias and crossovers.
Info Table: Displays real-time values and status (Expansion, Contraction, Over-Expansion, Over-Contraction).
Background Highlighting: Optional visual aid for trend phases.
🔹 How to Use:
When BEXO rises above the Signal Line, the market is in an Expansion phase → potential trend continuation.
When BEXO falls below the Signal Line, the market is in a Contraction phase → potential consolidation or trend weakness.
Overbought/Over-Expansion zone (above OB level): Signals high volatility; watch for possible reversal or breakout exhaustion.
Oversold/Over-Contraction zone (below OS level): Indicates a squeeze or low volatility; often precedes strong breakout moves.
🔹 Best Application:
Identify volatility cycles (squeeze & expansion).
Filter trades by volatility conditions.
Combine with price action, volume, or momentum indicators for confirmation.
⚠️ Disclaimer:
This indicator is for educational and research purposes only. It should not be considered financial advice. Always combine with proper risk management and your own trading strategy.
Flex-ATR SuperTrend - by Trading Pine Lab🇬🇧
The Flex-ATR SuperTrend is a versatile trading strategy that enhances the classic SuperTrend with adjustable ATR methods, a custom date-range filter, and modern visual styling. By allowing a switch between standard ATR and SMA-based TR, the baseline adapts better to different volatility regimes and market conditions.
Entries are triggered when the SuperTrend flips bullish, while exits occur when it flips bearish. A highlight cloud emphasizes the active trend, and optional BUY/SELL labels provide clear visual confirmation of entry and exit signals.
All parameters are fully configurable:
-ATR settings: period and multiplier, with toggle between classic ATR and SMA-based TR.
-Date range filter: define exact backtesting windows.
-Signal visualization: optional BUY/SELL labels.
-Highlight cloud: cyan/magenta overlay for trend emphasis.
-Customization: enable/disable signals and visuals for a clean or detailed interface.
Dual-BB SuperTrend - by Trading Pine Lab🇬🇧
The Dual-BB SuperTrend is a fusion strategy that builds a BBTrend oscillator from two Bollinger Bands (short & long lookbacks) and then runs a SuperTrend over that oscillator to time entries and exits. The BBTrend captures expansion/contraction between the two bands (structural momentum), while the SuperTrend converts that flow into clear directional flips.
Entries occur on SuperTrend direction flips over the BBTrend series (Long when ST turns bullish, Short when it turns bearish). Optional percentage TP/SL can be applied on top. The chart includes a blue/orange theme for the BBTrend histogram with a subtle glow around the zero line, and BUY/SELL label markers with arrows for clean visual confirmation.
All parameters are fully configurable:
-Trading direction filter: Long / Short / Both.
-Bollinger settings: short length, long length, standard-deviation multiplier.
-SuperTrend over BBTrend: length and ATR factor, contrarian labels toggle, bull/bear colors.
-Risk controls: Take-Profit % and Stop-Loss % with TP/SL/Both/None mode.
-Visualization: BBTrend column colors (blue/orange, strong/weak), zero-line glow, BUY/SELL label styling.
Gaussian Trend Rider - by Trading Pine Lab🇬🇧
The Gaussian Trend Rider is a clean and effective trend-following strategy based on a simulated Gaussian filter (double SMA smoothing).
Long entries are triggered when the price closes above the Gaussian trend line, and positions are exited when the price closes back below it.
The strategy is designed to keep trading simple while still offering visual clarity:
A dynamic trend line that adapts with price.
An optional ATR-based "waterfall cloud", adding subtle context about volatility and confidence.
Entry and exit markers for clear visual confirmation.
This minimalistic approach is ideal for traders who prefer riding established trends without overcomplicating the setup.
Configurable parameters:
-Trend Length (Gaussian smoothing window).
-Styling options (line width, static/dynamic coloring, markers, ATR cloud).
Extreme Zone Volume ProfileExtreme Zone Volume Profile (EZVP)
Originality & Innovation
The Extreme Zone Volume Profile (EZVP) revolutionizes traditional volume profile analysis by applying statistical zone classification to volume distribution. Unlike standard volume profiles that display raw volume data, EZVP segments the price range into statistically meaningful zones based on percentile thresholds, allowing traders to instantly identify where volume concentration suggests strong support/resistance versus areas of potential breakout.
Technical Methodology
Core Algorithm:
Distributes volume across user-defined bins (20-200) over a lookback period
Calculates volume-weighted price levels for each bin
Applies percentile-based zone classification to the price range (not volume ranking)
Zone B (extreme zones): Outer percentile tails representing potential rejection areas
Zone A (significant zones): Secondary percentile bands indicating strong interest levels
Center Zone: Bulk trading range where most price discovery occurs
Mathematical Foundation:
The script uses price-range percentiles rather than volume percentiles. If the total price range is divided into 100%, Zone B captures the extreme price tails (default 2.5% each end ≈ 2 standard deviations), Zone A captures the next significant bands (default 14% each ≈ 1 standard deviation), leaving the center for normal distribution trading.
Key Calculations:
POC (Point of Control): Price level with maximum volume accumulation
Volume-weighted mean price: Total volume × price / total volume
Median price: Geometric center of the price range
Rightward-projected bars: Volume bars extend forward from current time to avoid historical chart clutter
Trading Applications
Zone Interpretation:
Zone B (Red/Green): Extreme price levels where volume suggests strong rejection potential. Price reaching these zones often indicates overextension and possible reversal points.
Zone A (Orange/Teal): Significant support/resistance areas with substantial volume interest. These levels often act as intermediate targets or consolidation zones.
Center (Gray): Fair value area where most trading occurs. Price tends to return to this range during normal market conditions.
Strategic Usage:
Reversal Trading: Look for rejection signals when price enters Zone B areas
Breakout Confirmation: Volume expansion beyond Zone B boundaries suggests genuine breakouts
Support/Resistance: Zone A boundaries often provide reliable entry/exit levels
Mean Reversion: Price tends to gravitate toward the volume-weighted mean and POC lines
Unique Value Proposition
EZVP addresses three key limitations of traditional volume profiles:
Visual Clarity: Standard profiles can be cluttered and difficult to interpret quickly. EZVP's color-coded zones provide instant visual feedback about price significance.
Statistical Framework: Rather than relying on subjective interpretation of volume nodes, EZVP applies objective percentile-based classification, making support/resistance identification more systematic.
Forward-Looking Display: Rightward-projecting bars keep historical price action clean while maintaining current market structure visibility.
Configuration Guide
Lookback Period (10-1000): Controls the historical depth of volume calculation. Shorter periods for intraday scalping, longer for swing trading.
Number of Bins (20-200): Resolution of volume distribution. Higher values provide more granular analysis but may create noise on lower timeframes.
Zone Percentages:
Zone B: Extreme threshold (default 2.5% = ~2σ statistical significance)
Zone A: Significant threshold (default 14% = ~1σ statistical significance)
Visual Controls: Toggle individual elements (POC, median, mean, zone lines) to customize display complexity for your trading style.
Technical Requirements
Pine Script v6 compatible
Maximum bars back: 5000 (ensures sufficient historical data)
Maximum boxes: 500 (supports high-resolution bin counts)
Maximum lines: 50 (accommodates all zone and reference lines)
This indicator synthesizes volume profile theory with statistical zone analysis, providing a quantitative framework for identifying high-probability support/resistance levels based on volume distribution patterns rather than arbitrary price levels.
AlphaFlow — Direcional ProThe AlphaFlow — Direcional Pro is a complete trading suite designed to give traders a clear, structured view of market direction, volatility, and momentum.
📌 Key Features:
Trend Detection with Dual EMAs: Fast and slow EMAs for directional bias, plus an optional 200 EMA filter for long-term context.
Volatility Regime Filter (ATR): Confirms market conditions by comparing current ATR with its average.
RSI Confirmation: Adaptive RSI filter to validate bullish and bearish regimes.
Directional Signals (BUY/SELL): Clear chart markers with bar coloring for instant trend visualization.
Swing Structure with Star Markers: Automatic detection of HH, HL, LH, LL swings, highlighted with color-coded ★ stars.
RSI Divergences: Automatic bullish/bearish divergence spotting for early trend reversal signals.
VWAP Levels: Daily, Weekly, and Anchored VWAP for institutional reference points.
Trade Management Tools: Automatic plotting of Entry, Stop-Loss, TP1, and TP2 levels, with optional trailing ATR stop.
Multi-Timeframe Support: Generate signals from a higher timeframe and confirm on chart close.
Alerts: Pre-configured alerts for entries, SL, TP1, TP2, and divergences.
✨ With its combination of trend, volatility, swing structure, and divergence analysis, AlphaFlow provides both short-term signals and long-term directional context — making it a versatile tool for intraday traders, swing traders, and investors.
Bull-Bear Power ZScore - by Trading Pine Lab🇬🇧
The Bull-Bear Power ZScore Strategy is an advanced trading framework that integrates Bull-Bear Power (BBP) with a statistical Z-Score model.
BBP measures the relative strength of buyers vs. sellers against an EMA baseline, while the Z-Score standardizes this relationship to detect statistically significant breakouts.
This dual-layer approach provides early trend detection while reducing noise from raw momentum signals.
Entries are triggered when the Z-Score crosses above or below its threshold (long above +T, short below –T). Exits occur when the Z-Score crosses back to zero, ensuring trades close when momentum fades.
A dynamic multi-level take-profit system is integrated, using ATR-based targets (TP1, TP2, TP3) that automatically adapt to **volume context** (high/medium/low) and **percentile analysis** (distribution of price and volume).
This ensures profit targets stretch in strong environments and tighten in weaker conditions, optimizing both risk and reward.
All parameters are fully configurable:
-Bull-Bear Power Settings: EMA length, Z-Score length, Z-Score threshold.
-Take Profit Settings: enable/disable TP system, ATR period, TP1–TP3 multipliers, TP1–TP3 position sizes.
-Volume Analysis: volume MA period, high/medium/low multipliers, adjustment factors.
-Percentile Analysis: percentile lookback period, high/medium/low thresholds, adjustment factors.
Jarvis Bitcoin Predictor – Advanced AI-Powered TrendJarvis Bitcoin Predictor is an invite-only indicator designed to help traders anticipate market moves with precision.
It combines advanced momentum tracking, volatility analysis, and adaptive trend filters to highlight high-probability trading opportunities.
🔹 Core Features:
- AI-inspired algorithm for Bitcoin price prediction
- Early detection of bullish and bearish trend reversals
- Dynamic support & resistance zones
- Clear buy/sell signal markers
- Built-in alerts to never miss an opportunity
Optimized for Bitcoin, but compatible with other crypto pairs
🔹 How it works (general explanation):
The indicator uses a mix of momentum calculations, volatility filters, and adaptive trend detection to generate signals.
When several market conditions align, Jarvis provides clear entry/exit signals designed to improve decision-making and timing.
🔹 How to use it:
1- Add Jarvis Bitcoin Predictor to your chart.
2- Follow the green signals/zones for bullish opportunities.
3- Follow the red signals/zones for bearish opportunities.
4- Combine with proper risk management and your own strategy.
This tool was built to give traders clarity and confidence in the fast-paced crypto market.
⚠️ Important:
This script is invite-only. To request access, please contact the author directly.
Dynamic Chandelier Exit Trader [KedArc Quant])Dynamic Chandelier Exit Trader (DCET)
The Dynamic Chandelier Exit Trader (DCET) builds upon the classical Chandelier Exit indicator by combining volatility-based stop placement with risk-reward exit logic. It is designed to provide clear buy/sell flip signals, making it adaptable across multiple trading environments.
Market Suitability
The DCET is most effective under the following market conditions:
1. Trending Markets (Upward or Downward)
- Strong performance when price is in a clear directional trend.
- Buy signals align with uptrends, sell signals align with downtrends.
- Works well on stocks, forex pairs, and crypto during trending phases.
2. Breakout Environments:
- Captures moves when price breaks out of consolidations.
- ATR-based stop dynamically adjusts to volatility expansion.
- Effective for traders who like catching the first move after breakouts.
3. Sideways / Range-Bound Markets:
- DCET tends to generate more frequent flip signals in sideways conditions.
- May lead to whipsaws, but can still be used with reduced ATR length or by combining with a trend filter (e.g., moving average direction).
4. All Markets (with Adjustments):
- Works universally but requires tuning.
- In highly volatile markets (e.g., crypto), a higher ATR multiplier may reduce false signals.
- In stable, slower-moving markets (e.g., large-cap equities), smaller ATR multipliers improve responsiveness.
AnalistAnka FlowScore Pro (v8.2)AnalistAnka FlowScore Pro – User Guide (EN)
1) What it is
AnalistAnka FlowScore Pro aggregates money flow into a single scale.
Components:
SMF-Z: Z-score of (log return × volume)
OBV-Z: Z-score of OBV (cumulative volume flow)
MFI-Z (optional): Z-score of Money Flow Index
Combined into FlowScore, then smoothed by EMA.
Core signal:
FlowScore > +0.5 → strong long bias
FlowScore < −0.5 → strong short bias
Optional HTF EMA filter keeps you trading with the higher-timeframe trend.
2) Inputs (summary)
FlowScore & Signal: wSMF, wOBV, wMFI, smoothFS, enterBand, exitBand, cooldownBars
HTF Filter: useHTF, htf (e.g., 60/240/1D), htfEmaLen (default 200)
MFI: useMfi, mfiLen, mfiSmooth, mfiZwin
Spike: spWin, spK (σ threshold), minVolPct (volume MA threshold)
Fills: fillSMF, fillOBV with separate positive/negative colors
Divergences: showDiv, divLeft/right, divShowLines, divShowLabels, colors
3) How to read
A) FlowScore (primary)
Long setup: FlowScore crosses above enterBand (+)
Short setup: FlowScore crosses below −exitBand
Hysteresis (±bands) reduces whipsaws; cooldown throttles repeats.
B) HTF trend filter (recommended)
With useHTF=true: only longs above HTF EMA, only shorts below it.
Example: trade 15-min, filter with 1-hour EMA200.
C) Spike IN/OUT (confirmation)
Detects statistical surges in OBV derivative plus volume threshold.
Use as confirmation, not as a standalone trigger.
D) Divergence (pivot-based)
Bearish: price HH while FlowScore prints LH
Bullish: price LL while FlowScore prints HL
Tune pivots via divLeft/right; toggle lines/labels in the panel.
4) Timeframes & suggested presets
Profile Chart HTF (Filter) Band (±) Cooldown Notes
Scalp 1–5m 15–60m 0.7 5–8 Fewer, cleaner signals
Intraday 5–15m 60–240m 0.5 8–12 Solid default
Swing 1–4h 1D 0.4 12–20 Patient entries
Daily usage:
On a daily chart, nothing extra is needed.
On intraday but want daily filter → set htf=1D.
5) Example playbook
Long:
useHTF=true and price above HTF EMA
FlowScore crosses above +band
Optional confirmations: recent Spike IN, SMF-Z & OBV-Z aligned positive
Stop: below last swing low or ATR(14)×1.5
Exit: partial on FlowScore below 0; full on below −band or at 1R/2R
Short: mirror logic (below HTF EMA, break under −band, Spike OUT, etc.).
6) Alerts
FlowScore LONG / SHORT → immediate signal notification
Spike IN / OUT → money-in/out warnings
7) Tips
Too many signals → widen bands (0.6–0.7), increase cooldown, raise smoothFS (6–9).
Too slow → lower smoothFS (3–4), reduce bands to 0.4–0.5.
Thin liquidity → reduce minVolPct, also reduce position size.
Best reliability when SMF-Z & OBV-Z share the same polarity.
8) Disclaimer
For educational purposes only. Not financial advice. Always apply risk management.
