Breakout Targets [AlgoAlpha]🟠 OVERVIEW
This script identifies consolidation zones and provides automated breakout targets with risk management levels. It focuses on finding periods where price action compresses and then tracks the subsequent breakout from these ranges. When a price breakout is confirmed, the script automatically projects three take-profit (TP) levels and a stop-loss (SL) based on current market volatility. This helps traders move from identifying a range to executing a trade with predefined exit points without manual calculation.
🟠 CONCEPTS
The script uses a relationship between Weighted Moving Averages (WMA) and Exponential Moving Averages (EMA) of price ranges to detect consolidation. When these moving averages cross, it triggers the detection of recent pivot highs and lows to draw a visual "box" or channel. This channel represents the current trading range. Once price closes outside this box, the script uses the Average True Range (ATR) to determine the volatility-adjusted distance for the stop loss. The take-profit levels are then calculated as multiples of this risk distance, ensuring a consistent reward-to-risk approach.
🟠 FEATURES
Dynamic box drawing that highlights potential supply and demand zones within the range.
Real-time breakout signals with bullish (green) and bearish (red) markers.
Automated trade projection including Entry, SL, and three TP levels.
Integrated alert system for breakouts and hits on any profit or loss target.
🟠 USAGE
Setup : Add the script to your chart and adjust the "Range Detection Period." A higher period will find larger, more significant ranges, while a lower period will find smaller, short-term consolidation zones.
Read the chart : Look for the grey boxes on your chart; these represent areas where the market is "coiling." A green arrow label indicates a bullish breakout from the top of the box, while a red arrow indicates a bearish breakout from the bottom. Once a breakout occurs, follow the projected horizontal levels for your trade management.
Settings that matter : The Stop Loss ATR Multiplier is the most critical setting for risk; increasing it will give the trade more room to breathe but will also push your TP levels further away. The Prevent Overlap toggle is useful for keeping the chart clean by ensuring the script doesn't draw new boxes until the current range has been resolved.
Volatilidad
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.
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.
Volatility-Based Stop CalculatorVolatility-Based Stop Calculator
Daily volatility-based stop distance and target levels with regime awareness using VIX-derived stress features
Overview
Volatility-Based Stop Calculator is a daily risk-sizing helper that computes ATR-based stop distances and target levels using a volatility regime score built from VIX momentum, VIX acceleration, and SPY realized volatility. It is not a signal or entry tool; it provides a consistent stop distance and target ladder for the current session.
Key Features
Volatility Regime Scoring: Uses VIX momentum (5‑day change), VIX acceleration, and SPY realized volatility to create a daily severity score.
Quantile Buckets: Maps the severity score into 4 volatility buckets (LOW / NORMAL / ELEVATED / EXTREME).
Dynamic k Multiplier: Adjusts stop distance via VIX percentile, gap risk (ETFs only), realized vol ratio, and VIX9D term stress.
ATR-Based Stops: Final stop distance is ATR × k, rounded to tick size.
Targets Ladder: Plots TP1/TP2/TP3 and stop levels from a reference price (daily close or live price).
Overlap Consolidation: In Both mode, overlapping long/short levels are merged into a single line/label.
Live Lines + Labels: Uses dynamic lines and labels (not plot lines) for clean chart overlays.
Table Summary: Monospace table showing regime, k, ATR, stop distance, and volatility stats.
How It Works
Daily Data Pull: Uses daily bars for all volatility calculations to match the original daily model.
Severity Score: Ranks VIX momentum, VIX acceleration, and SPY realized vol, then blends them with weights.
Bucket Mapping: Converts severity into 4 quantile buckets and selects base k per bucket.
Dynamic Adjustments: Adds VIX percentile, ETF gap risk, asset vs market realized vol, and VIX9D term stress.
Stop + Targets: Computes stop distance and applies 1R/2R/3R targets from the reference price.
Use Cases
Stop Placement: Avoid stops that are too tight in high volatility or too wide in low volatility.
Risk Sizing: Use the stop distance with your own risk model to size positions.
Daily Context: Track volatility regime shifts without needing a separate regime model.
Consistent Execution: Standardize stop/target placement across sessions.
Settings
Volatility Inputs:
VIX Symbol, VIX9D Symbol
SPY Symbol (market baseline)
NQ/ES Baseline Symbols (futures baselines)
Stop Model:
ATR EMA Span
VIX Percentile Window
Severity Lookback
Bucket Lookback
Gap Lookback (ETFs)
Bucket Smoothing
Display:
Show Levels (Long/Short/Both)
Use Live Price (current chart) or Daily Close
Level Line Style/Width
Label Size and Position
Long/Short/Overlap colors
Table Styling:
Background, header, border, frame, and text settings
Table position and text size
Technical Notes
All volatility calculations are based on daily data; intraday charts use daily series under the hood.
Futures gap adjustment is disabled; ETFs include gap risk.
This is a risk sizing helper, not a trade signal generator.
Best Practices
Use daily regime output to set stops, then execute on your preferred timeframe.
Confirm symbol mappings for VIX/VIX9D/ES/NQ in your data feed.
If levels feel too wide or tight, adjust the k inputs rather than ATR length first.
A daily volatility‑based stop calculator that adapts stop distance and targets to the current regime.
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
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.
Supertrend with Keltner Channels ~ CharonQuantThe Supertrend with Keltner Channels Strategy is a trend-following and volatility indicator designed to filter noise and highlight high-quality directional opportunities.
Core Logic
The indicator is based on two complementary components:
• Supertrend defines the primary market regime (bullish or bearish)
• Keltner Channels define volatility expansion and contraction
Signals are only generated when both trend direction and volatility breakout agree.
Signal Conditions
A Buy signal is triggered when:
• Supertrend flips bullish
• Price breaks above the upper Keltner Channel
A Sell signal is triggered when:
• Supertrend flips bearish
• Price breaks below the lower Keltner Channel
If one condition is missing, no signal is produced. This design prioritizes signal quality over signal frequency.
Visual Structure
The indicator uses a clear visual hierarchy:
• Bar coloring reinforces directional bias
• Supertrend acts as the main directional spine
• Keltner Channels provide volatility context
• Buy and Sell labels mark execution points
All visual elements can be enabled or disabled from the Visual Settings panel.
Development and usage notes:
This indicator was developed and calibrated on the 1D INDEX:BTCUSD chart.
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
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.
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.
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.
ORION: Linear Regression Consolidation SystemDescription:
This script is a custom-built technical analysis tool designed to identify high-probability consolidation zones (market equilibrium) and trade their subsequent breakouts in the direction of the established trend.
originality & Concept: While many indicators use simple Bollinger Band squeezes, this system employs a multi-factor algorithm to define "Consolidation" mathematically. It synthesizes three core concepts:
Volatility Compression (ATR): It compares the current range against the Average True Range (ATR) to ensure price action is compressed.
Structural Stationarity (Linear Regression): It calculates the slope of the Linear Regression line over a lookback period. A zone is valid ONLY if the slope is near-zero (< 0.25), ensuring the market is truly flat and not just choppy.
Trend Alignment (EMA): To filter out low-probability counter-trend signals, the system utilizes a 150-period Exponential Moving Average (EMA) as a baseline. Breakouts are only valid if they align with the macro trend (Above EMA = Long, Below EMA = Short).
How It Works:
Zone Detection: The script draws a visual box when the price range is within the ATR multiplier limit AND the Linear Regression slope is flat.
Signal Validation: A signal is triggered only on a confirmed candle close outside the box.
False Breakout Protection: A volume/body size filter checks if the breakout candle has significant momentum compared to the average of the last 20 bars.
Risk Management : The script projects a fixed Risk:Reward setup (default 1:1.8) and includes a "Breakeven" logic that visualizes when a trade has reached 50% of its target, securing the position.
Settings:
This system is highly customizable to fit different market conditions. Below are the specific parameters used in this setup:
1. Strategy Core (Logic)
Lookback Period (15): The algorithm analyzes the most recent 15 candles to detect market equilibrium. On the M5 timeframe, this represents a 75-minute window of stability, which is optimal for scalping setups.
Box Width (ATR Multiplier) (3) : Defines the maximum vertical range of the consolidation box. A value of 3 means the box height cannot exceed 3x the Average True Range (ATR). This ensures we are trading tight, compressed zones rather than volatile, expansive ranges.
Slope Tolerance (0.4): Controls the strictness of the Linear Regression slope. A value of 0.4 allows for a slight tilt in the consolidation structure, capturing more valid opportunities than a strictly horizontal (0.0) setting without compromising the "flatness" requirement.
2. Risk Management
Risk : Reward Ratio (1.8): Sets the profit target relative to the stop loss. For every $1 risked, the system targets $1.8 in profit. This provides a positive mathematical expectancy even with a moderate win rate.
Breakeven Trigger (%) (0.5): A capital preservation feature. When the price covers 50% (0.5) of the distance to the Take Profit target, the trade is visually marked as "Breakeven" (Risk-Free). If the price reverses after this point, it is not counted as a loss.
3. Protection & Filters (Insurance)
Enable 'Strong Candle' Filter (ON): Filters out weak "creeping" breakouts. The system will only trigger a signal if the breakout candle demonstrates significant momentum.
Average Size Period (20): The baseline for momentum is calculated using the average body size of the last 20 candles.
Candle Strength Factor (1): The breakout candle must be at least 1x (100%) the size of the average candle. This ensures that real volume and momentum are backing the move, reducing the chance of fakeouts.
Disclaimer: This script is intended for educational and analytical purposes to assist traders in identifying market structure.
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
BOS/CHoCH Impulsive Move Detector #12.2Includes all updates. This indicator includes all BOS & CHoCH impulses and identifies impulses of greater than 5% and differentiates between longs and shorts.
bezgincan_WPNR Momentum & Volatility Nexus 256 [v6]WPNR Nexus 256: Multi-Factor Macro Cycle Oscillator
Overview
The WPNR Nexus 256 is a high-performance hybrid oscillator designed for macro-trend analysis. It integrates a custom Weighted Percentile Nearest Rank (WPNR) algorithm with Momentum (RSI) and Volatility filters. By utilizing a 256-period lookback—often associated with a full trading year of data—it filters out market noise and identifies significant cyclical shifts in price action.
The Methodology
Unlike standard Percentile Rank indicators that treat all historical data points equally, the WPNR Nexus applies a logarithmic decay weight. This means recent price ranks have a higher impact on the current value than older ones, effectively reducing the inherent "lag" found in long-period oscillators.
Weighted Percentile (WPNR): Ranks the current close against the last 256 bars using a distance-weighted approach.
Momentum Fusion: Merges the WPNR value with RSI to ensure that price strength confirms the statistical ranking.
Volatility Awareness: Incorporates ATR-based normalization to distinguish between "trending volatility" and "range-bound noise."
Key Features
V6 Optimized: Written in the latest Pine Script™ v6 for maximum calculation efficiency and lower chart latency.
Macro Perspective: Designed specifically for 256-period analysis to capture institutional-grade market cycles.
Visual Intelligence: The indicator features a dynamic "Aura" effect. The color transitions between Vibrant Red (Overbought), Emerald Green (Oversold), and Neutral Gray based on momentum saturation.
Signal Precision: Includes built-in Triangle labels for Overbought/Oversold crossovers, helping to identify potential exhaustion points.
How to Read the Chart
The 50 Level: Acts as the "Equilibrium Line." Values sustaining above 50 indicate a dominant Bullish Macro Cycle, while values below 50 indicate a Bearish Macro Cycle.
Exhaustion Zones (80/20): When the line enters the dotted boundary areas and changes color, it signals that the current trend is reaching a statistical extreme.
Cross Signals: Look for the "Triangle" shapes. A green triangle rising from the 20 level suggests a high-probability cyclical bottom.
Settings
WPNR Period: Defaulted to 256 for macro analysis. Can be lowered for day-trading.
Weight Factor: Adjusts how aggressively the script favors recent data over older data.
Smoothing: A 5-period EMA filter to provide a clean, tradable signal line.
[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
Four Bollinger Lines - High EMA/WMA + Low EMA/WMA fill no cntrThese are two sets of Bollinger bands, set as the high EMA and a high WMA, and for the second set the Low, EMA and the Low WMA. You can fill the bands for a better visual. Bobszi
Bollinger Bands with 3SD Volume SegmentationPurpose
This script provides a structured way to analyze how real traded volume distributes across the different volatility zones defined by Bollinger Bands with three standard deviations, it reveals where activity concentrates, how pressure shifts between buyers and sellers, and how market participation behaves as price moves through expanding or contracting volatility regimes. The tool turns the bands into a mechanical segmentation system that exposes the microstructure hidden inside each volatility layer.
How it works
The script calculates Bollinger Bands at one, two, and three standard deviations, then assigns every bar’s volume to the correct volatility zone based on where price closed, it reconstructs buy and sell volume from candle behavior, computes delta as the difference between them, and aggregates these values over the chosen lookback window. Each zone displays total volume, delta, and a dominance percentage that expresses how strongly buyers or sellers controlled that region, all updated dynamically on the most recent bar. For example, if the Mid–U1 zone shows 28,450 contracts with a –2,728 delta and –9.59% dominance, that indicates mild seller control in a normally balanced rotation area, while the L1–Mid zone showing 10,606 contracts, +1,816 delta, and 17.12% dominance signals buyers absorbing pressure and defending the pullback.
Rationale
Volatility zones behave like natural boundaries where liquidity concentrates, where traders commit, hesitate, or get trapped, and where expansions or reversals often originate, so segmenting volume and delta by these zones provides a clearer picture of intent and pressure than raw volume alone. By quantifying how much buying or selling occurred in each volatility layer, the script helps identify continuation, absorption, exhaustion, and imbalance, giving traders a mechanical, objective map of market behavior rather than relying on subjective interpretation.
Stocks: QQQ Daily ATR% + Premarket Range (% of ATR)## Stocks/ETFs: QQQ Premarket Range (% of Daily ATR) — ORB Trading Guide
### What this indicator does
This indicator is built for **stocks and ETFs** like **QQQ** and is meant to support **Opening Range Breakout (ORB)** trading.
It measures the **Premarket Range** from **04:00 to 09:30** (exchange time), then compares that move to QQQ’s **typical full-day movement** using **Daily ATR(14)**.
The goal is simple:
> **Before the open, decide whether the day is more likely to behave like a “chop day” or an “expansion day,” and then choose the ORB style that matches.**
---
## Key terms (plain English)
### Daily ATR(14)
ATR stands for **Average True Range**.
On the **daily** timeframe, ATR(14) estimates QQQ’s **typical daily movement** over the last 14 trading days.
Think of it as:
> “On a normal day, QQQ tends to move about *X* dollars.”
---
### ATR% (vs Daily Close)
This converts ATR into a percent of price so you can compare volatility over time:
Think of it as:
> “QQQ’s typical daily move is about *X%* of its price.”
---
### Premarket Range (04:00–09:30)
This is the distance between the **premarket high** and **premarket low** during the session window:
**04:00 → 09:30**
Think of it as:
> “How much QQQ already moved before the bell.”
---
### Premarket Range % of ATR
This is the core measurement:
It answers:
> “How much of a normal day’s movement already happened before the open?”
Examples:
* **20%** = quiet premarket (small move)
* **60%** = active premarket (big move already happened)
---
## How to interpret the Regime label
This script classifies the day into one of three “regimes”:
### **CHOP-LEANING** (Premarket Range < 25% of Daily ATR)
Premarket was quiet. The open is more likely to be:
* range-bound
* full of fakeouts
* slower follow-through
### **NEUTRAL** (25%–50%)
Normal premarket activity. Either outcome is possible:
* trend or chop
* you must let the open confirm it
### **EXPANSION-LEANING** (Premarket Range > 50%)
Premarket was very active. The open is more likely to:
* move faster
* expand range quickly
* have stronger directional pushes (or sharp swings)
**Important:** Expansion does not guarantee a clean trend. It means **movement is more likely**.
---
# How I use this indicator with ORB (my rules)
This indicator is not a buy/sell signal by itself.
I use it to decide **which ORB style to trade**.
## Step 1 — Check the “Regime” before the open
* If the indicator reads **EXPANSION-LEANING**, I treat it like a momentum environment.
* If the indicator reads **CHOP-LEANING**, I treat it like a confirmation environment.
* If it reads **NEUTRAL**, I stay selective and let price action confirm.
---
## Step 2 — ORB Execution Rules
### ✅ If **EXPANSION-LEANING** (momentum day)
**Goal:** Catch the move early and avoid missing the breakout.
**My ORB plan:**
* Build my opening range using the **5-minute ORB**
* Enter on a **break of the ORB level**
* Use the **1-minute timeframe** for the actual entry trigger
**How I confirm the break:**
* I want a clean break through the ORB level (not just a wick touch)
* If price snaps immediately back inside the ORB, I avoid chasing
This approach fits expansion days because QQQ can move fast after the open and waiting for perfect retests can cause you to miss the push.
---
### ✅ If **CHOP-LEANING** (confirmation day)
**Goal:** Avoid fakeouts and only enter when the break proves itself.
**My ORB plan:**
* Build my opening range using a **15-minute ORB**
* I do **not** enter on the first break
* I wait for a **break and retest**
* Then I use the **5-minute timeframe** to confirm the retest holds before entry
This fits chop days because breaks fail more often, so I require confirmation before committing.
---
### ✅ If **NEUTRAL**
**Goal:** Reduce low-quality trades.
**My ORB plan:**
* Treat it as “wait and see”
* Only take the break if price shows strong conviction (hold outside ORB)
* If price is whipping in and out of the range, I skip the trade
---
## Best practices
* Works best on **1m / 5m / 15m charts** so the premarket high/low is captured accurately.
* Premarket session time uses the symbol’s **exchange time**.
* Use proper risk management—QQQ can move fast, especially on expansion days.
---
## Disclaimer
This script is for educational purposes only and is not financial advice. Trading involves risk. Always use risk management and test any approach before trading live.
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!)
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
Log-Returns Anomaliad Z-score + VolatilidadLog-Returns: Anomalías (Z-score + Volatilidad)
Log-Returns: Anomalies (Z-score Volatility) This is the mathematically correct way to measure the price change between two periods
Daily Move Percentile + StdDevDaily Move Percentile + Standard Deviation
Quantifies how unusual today's price move is relative to historical norms, combining percentile ranking with standard deviation analysis. Designed for volatile assets like biotech where contextualizing moves against typical volatility is essential.
How it works:
Calculates daily percentage change
Ranks today's move against the historical distribution (percentile)
Measures how many standard deviations from the mean (z-score)
Displays average volatility so you can contextualize whether a move is normal for this specific stock
Color coding:
Teal: 95th+ percentile up move — rare upside
Red: 95th+ percentile down move — rare downside
Lime: 80th-95th percentile up move — notable upside
Orange: 80th-95th percentile down move — notable downside
Gray: Normal volatility — nothing unusual
Information table (top right):
Today's move (%)
Percentile rank (how unusual)
Standard deviations (z-score)
Average volatility (typical daily move for this stock)
1 Std Dev (baseline volatility measure)
Use cases:
Identify statistically significant moves worth investigating
Contextualize moves against stock-specific volatility (a -5% day means different things for different stocks)
Spot potential mean-reversion setups after extreme moves
Monitor portfolio names for unusual activity
Recommended settings:
30-60 day lookback for volatile biotech
252 day lookback for stable, large-cap names
Institutional ROC + Z-Score HeatmapInstitutional ROC + Z-Score Heatmap
Identifies statistically significant daily price moves by calculating the z-score of the rate of change (ROC) against a configurable historical lookback period. Designed for cross-asset regime monitoring and volatility detection.
How it works:
Calculates the daily percentage change (ROC)
Compares that move to the historical distribution of daily moves
Expresses the result as a z-score (standard deviations from the mean)
Color coding:
Teal: Extreme positive move (>3σ) — rare upside, potential blowoff top
Red: Extreme negative move (<-3σ) — rare downside, potential capitulation
Orange/Lime: Warning zone (2-3σ) — unusual but not extreme
Gray: Normal volatility — nothing actionable
Use cases:
Identify regime shifts across asset classes (equities, crypto, commodities)
Spot potential mean-reversion setups after extreme moves
Monitor cross-asset risk appetite (BTC, XBI, SPY) for tactical hedging signals
Recommended settings:
ROC Length: 1 (daily moves)
Lookback: 252 (1 year) for stable assets, 60-90 for volatile biotech
