Optimus S/R ZonesEnhanced S/R Zones Pro is a sophisticated Support and Resistance indicator designed for traders who need reliable, validated S/R levels with professional-grade visualization. Unlike basic pivot indicators, this tool validates levels based on historical price interaction and provides comprehensive analysis of your current position within the market structure.
✨ Key Features
📊 Extended Lookback Analysis
Lookback Range: 20-500 bars (far beyond standard 80-bar limits)
Pivot Strength: Adjustable 2-10 bars for confirmation
Separate Controls: Independent max levels for support (1-8) and resistance (1-8)
Smart Filtering: Automatic level spacing with customizable minimum distance (0.3-5%)
🎨 Advanced Zone Visualization
Three Zone Styles:
Filled: Solid colored zones
Outlined: Border-only zones
Both: Combined for maximum visibility
Adjustable Transparency: 50-95% opacity control
Dynamic Extension: Zones extend to the right indefinitely
Custom Zone Width: 0.05-1.0% of price
💪 Level Strength System
Touch Validation: Only shows levels tested multiple times
Minimum Touches: Filter for 1-5 minimum confirmations
Color Intensity: Stronger levels (more touches) display darker/brighter
Touch Detection: Customizable sensitivity (0.1-1.0% range)
Independent Display: Show touch counts without color coding
📱 Enhanced Dashboard
Level Count: Active support/resistance zones
Distance Metrics: Percentage to nearest S/R levels
Range Position: Where price sits between S/R (0-100%)
Color Coding: Visual feedback on market position
Four Positions: Top/Bottom, Left/Right placement
🎭 Customizable Visuals
Label Sizes: Tiny, Small, Normal, Large, Huge
Adjustable Line Width: 1-4 pixels
Custom Colors: Full color picker for support/resistance
Optional Touch Count: Toggle touch numbers on/off
Midpoint Line: Shows equilibrium between nearest S/R
🔔 Smart Alerts
Proximity Alerts: Triggers when approaching support zones
Resistance Alerts: Triggers when nearing resistance zones
Customizable Range: Based on touch detection sensitivity
🔧 How It Works
1. Pivot Detection
The indicator scans historical price action using configurable pivot strength to identify significant highs and lows. Extended lookback allows detection of major structural levels that shorter timeframes might miss.
2. Touch Validation
Each potential level is validated by counting how many times price has tested it within the specified touch detection range. Only levels meeting the minimum touch threshold are displayed.
3. Strength Ranking
Levels are ranked by:
Number of touches (primary)
Proximity to current price (secondary)
This ensures the most reliable and relevant levels are always shown.
4. Smart Filtering
The minimum distance filter prevents level clustering, keeping your chart clean and focusing only on distinct, actionable zones.
💡 Use Cases
Swing Trading
Identify major support/resistance for position entries
Set profit targets at strong resistance levels
Place stops below validated support zones
Day Trading
Quick identification of intraday S/R
Monitor range position for mean reversion trades
Use proximity alerts for entry timing
Position Trading
Extended lookback reveals major structural levels
Touch count validation ensures reliability
Range position helps time accumulation/distribution
Risk Management
Distance metrics help size positions appropriately
Strong levels (high touch count) for tight stops
Midpoint line for partial profit taking
⚙️ Settings Guide
Core Settings
Lookback Period: Start with 100 for swing trading, 50 for day trading
Pivot Strength: Higher values = fewer but stronger levels
Max Levels: 2-3 support and 2-3 resistance recommended
Min Distance: 1.0% prevents clustering, increase for volatile assets
Zone Settings
Zone Width: 0.25% default works well for most assets
Zone Style: "Both" for maximum visibility
Extend Zones: Keep enabled to track levels forward
Transparency: 85% provides good visibility without clutter
Level Strength
Show Level Strength: Enable for color-coded importance
Min Touches: 2-3 for validated levels
Touch Detection: 0.3% for precise levels, increase for volatile markets
Visual Settings
Label Size: Small/Normal for most charts
Show Touch Count: Enable to see level validation
Line Width: 2 for standard, 3-4 for presentation charts
📈 Best Practices
Start Conservative: Begin with default settings, adjust based on asset volatility
Combine Timeframes: Use different lookback periods on multiple charts
Respect Strong Levels: Higher touch counts indicate institutional interest
Watch Range Position: <30% = near support, >70% = near resistance
Use Alerts: Set proximity alerts to avoid constant chart watching
Validate Breaks: Zone width shows where true breaks occur vs. fakeouts
🚀 What Makes This Different
Unlike basic pivot indicators that simply mark highs/lows:
✅ Validates levels through touch count analysis
✅ Ranks levels by actual strength, not just recency
✅ Visualizes zones, not just lines
✅ Quantifies your position within market structure
✅ Extends lookback far beyond standard limits
✅ Separates support and resistance controls
🎓 Tips for New Users
First Time Setup:
Add indicator to chart
Enable dashboard in settings (default on)
Observe which levels price respects
Adjust lookback/strength to match your trading style
Set proximity alerts for your key levels
Optimization:
Forex: 0.2-0.3% zone width, 100-200 lookback
Stocks: 0.3-0.5% zone width, 50-150 lookback
Crypto: 0.4-0.6% zone width, 100-200 lookback
Indices: 0.2-0.4% zone width, 100-250 lookback
⚠️ Disclaimer
This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Support and resistance levels are not guarantees of price behavior. Always use proper risk management, combine with other analysis methods, and consider fundamental factors. Past performance does not guarantee future results.
ניתוח מגמה
Apex ICT: Proximity & Delivery FlowThis indicator is a specialized ICT execution tool that automates the identification of Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD). Unlike standard indicators that clutter the screen, this script uses a Proximity Logic Engine to ensure you only see tradeable levels. It automatically purges old data (50-candle CISD limit) and deletes mitigated zones the moment they are breached, leaving you with a clean, institutional-grade chart.
Asian and London Session High-Low (Auto UK DST) + PDH/PDLThis indicator automatically plots Asian session (7:00am–2:00pm MYT) and London session high/low using Malaysian time, with London adjusting automatically for UK Daylight Saving Time (4:00pm–9:00pm MYT in winter, 3:00pm–8:00pm MYT during DST).
It also shows Previous Day High/Low (PDH/PDL) and a 7:00am MYT daily reset line, while No-Trade zones are available but turned OFF by default and can be enabled when needed.
Tori's Trendline Strategy with sugested stop loss and tp levels this will draw its own trendlines looks for consolidation and determines which pressure is building up inside the consolidation to minimize fake outs. also suggests long and short entries along with sl and tp levels. if you want to see the chart more clear shut off the long and short entry suggestions in the settings .
Volume-Confirmed Trend Thrust IndicatorOVERVIEW
This indicator combines trend strength, momentum & volume analysis to generate high-conviction buy and sell signals. It is based on the "Volume Confirmation for a Trend System" (VCTS) by Buff Pelz Dormeier (TASC August 2024), which I have taken the liberty of 'buffing up' (heh!) by swapping out original VPCI component with the ATR-aware Net Accumulation Flow (NAF) indicator derived from Markos Katsanos' VPN indicator (TASC April 2021).
The result is a system that only triggers buy signals when three independent conditions align:
• A strong trend exists (ADX)
• Momentum is bullish (TTI)
• Institutional accumulation is detected (NAF)
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COMPONENTS
█ ADX (Average Directional Index)
Measures trend strength regardless of direction. A reading above 30 indicates a strong trend worth trading. This filter prevents signals during choppy, sideways markets.
█ TTI (Trend Thrust Indicator)
Dormeier's volume-weighted MACD variant that provides momentum direction. Unlike standard MACD, TTI uses Volume-Weighted Moving Averages (VWMA) and applies a volume multiplier that amplifies signals when volume confirms price movement. When TTI crosses above its signal line, momentum is considered bullish.
█ NAF (Net Accumulation Flow)
The key enhancement - in my humble opinion - over the original VCTS. NAF classifies each bar's volume as:
• Accumulation: Price moved UP more than 10% of ATR
• Distribution: Price moved DOWN more than 10% of ATR
• Neutral: Price movement too small to be meaningful (filtered as noise)
NAF then calculates the net flow (Accumulation Volume - Distribution Volume) over a 30-bar lookback period, normalized and smoothed. This provides a cleaner read on whether institutions are accumulating or distributing.
Perceived benefits of NAF:
• ATR-based noise filtering eliminates false readings from small price movements
• Rolling 30-bar accumulation captures sustained institutional activity
• Empirically calibrated thresholds based on 717 stocks / 360,000 observations
• 3-period EMA smoothing reduces whipsaws
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SIGNAL LOGIC
🟢 BUY SIGNAL
All three conditions must be true simultaneously:
1. ADX > 30 (strong trend)
2. TTI > Signal Line (bullish momentum)
3. NAF > 16 (accumulation)
Signals fire on the first bar where all conditions align, preventing repeated signals during sustained bullish periods.
🔴 SELL SIGNAL
Exit when volume flow turns negative:
• NAF < -9 (below neutral zone, indicating distribution).
This indicator retains Dormeier's asymmetric approach (strict entry, quick exit) to help protect profits when institutional support fades.
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NAF THRESHOLD REFERENCE
Based on proprietary empirical calibration (717 stocks, 360K observations):
>= +35 │ Strong Accumulation (P95, ~5% of days)
>= +28 │ Solid Accumulation (P90, ~10% of days)
>= +16 │ Moderate Accumulation (P75) ← Default Buy Threshold
-9 to +16 │ Neutral Zone (~50% of days)
<= -9 │ Below Neutral ← Default Sell Threshold
<= -22 │ Solid Distribution (P10)
<= -29 │ Strong Distribution (P5)
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SETTINGS
Setting for all 3 variables (ADX, TTI & NAF), alerts and visual conditional formatting are configurable.
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USAGE TIPS
1. Works best on daily timeframe for swing trading
2. More effective on liquid stocks where volume data is meaningful
3. Consider using NAF threshold of 28 (P90) for higher conviction entries
5. Combine with price action analysis (support/resistance, RS, chart patterns)
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MAXIMUM RESPECT:
• VCTS (ADX + TTI + VPCI): Buff Pelz Dormeier, "Volume Confirmation For A Trend System", Technical Analysis of Stocks & Commodities (TASC), August 2024. Pine Script adaptation: PineCoders.
• VPN / NAF: Markos Katsanos, Technical Analysis of Stocks & Commodities (TASC), April 2021. Pine Script adaptation: LevelUp/John Muchow.
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DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always conduct your own analysis and consider your risk tolerance before making trading decisions. Use appropriate position sizing and stop-loss orders to manage risk.
Laguerre RSI (Fractals Energy) [v6]This write-up explores the **Laguerre RSI (LRSI)**, a sophisticated technical indicator pioneered by **John F. Ehlers**. Unlike the standard RSI, which often suffers from "lag" or excessive noise, the Laguerre RSI uses a four-pole filter to provide a smoother, more responsive curve that stays in overbought or oversold zones longer during strong trends.
The following analysis focuses on the interplay between the **Alpha (Gamma)** and the **Gamma Bandwidth**, specifically looking for "Alpha Exceeding" events to identify market coiling and exhaustion.
---
## 1. The Core Concept: Ehlers’ Laguerre Transform
Traditional indicators use a fixed look-back period (e.g., 14 periods). John Ehlers introduced the Laguerre Transform to allow for a more efficient way of filtering data using a very small amount of data.
In the provided code, the key variable is **Alpha** (derived from **Fractals Energy/Gamma**). This value determines the "speed" of the indicator.
* **Low Alpha:** High damping, smoother but slower.
* **High Alpha:** Low damping, faster and more reactive.
---
## 2. The Gamma Bandwidth: Coiling and Energy
The "Gamma Band" (the purple shaded area in your script, typically between and ) represents the "neutral" zone for market fractal energy.
### Market Coiling (Compression)
When the **Alpha (Gamma) line** climbs **above the Gamma Upper Bound** (e.g., ):
* This indicates the market is moving into a state of **high fractal efficiency** or "straight-line" movement.
* However, when Alpha is pinned high, it often signals **Coiling**. The market is burning through its energy efficiently, but it is reaching a state of "ordered" exhaustion.
* **The Interpretation:** The price is trending strongly, but the lack of "chaos" suggests a trend maturity is approaching.
### Alpha Exceeding the Bands (Exhaustion)
When the Alpha line spikes significantly outside the bands while the LRSI line (blue or pink) is pinned at the extremes (1.0 or 0.0), we observe **Exhaustion**.
* **Bullish Exhaustion:** LRSI is (Blue) and Alpha exceeds the upper band. The trend is so efficient that it has no room left to accelerate. A "reversion to the mean" or a period of "choppiness" (increasing fractal chaos) is likely.
* **Bearish Exhaustion:** LRSI is (Pink) and Alpha exceeds the upper band. This shows a vertical drop that is unsustainable in the long term.
---
## 3. Signal Mechanics: The "Hook"
The most potent signal occurs when the Alpha line begins to **descend back into the Gamma Bandwidth** while the LRSI line crosses the OB/OS levels.
| Signal Component | Market Condition | Actionable Insight |
| --- | --- | --- |
| **Alpha > 0.59** | High Efficiency / Coiling | Trend is strong, but watch for the "bend." |
| **Alpha < 0.41** | High Complexity / Choppiness | Market is trendless; energy is being stored for the next move. |
| **LRSI Cross < 0.8** | Bearish Reversal | Trend exhaustion confirmed; exit longs or enter shorts. |
| **LRSI Cross > 0.2** | Bullish Reversal | Mean reversion confirmed; exit shorts or enter longs. |
---
## 4. Summary of the Methodology
By integrating **Fractals Energy** (Gamma) directly into the Alpha of the Laguerre RSI, this version of Ehlers’ work allows the indicator to adapt its own speed based on the market’s complexity.
When Alpha exceeds the bands, it is a warning that the "clean" move is coming to an end. The market is "coiled" tight; the subsequent break back into the purple band signifies that the trend has lost its linear efficiency and is returning to a state of chaos—often resulting in a price reversal or significant consolidation.
> **Credit:** All mathematical foundations of the Laguerre Transform and the RSI implementation are credited to **John F. Ehlers**.
---
Would you like me to create a visual guide or table specifically for the **Fractal Energy** values and how they correlate to specific market phases?
DTS Momentum Dot Plot (Stoch / RSI) + AlertsThis comes from Treyding Stocks Famous Dot Plot, but for think or swim. When the green and red dots align, then it is a good opportunity for a buy or sell. It is the Fast Stochastic,the slow stochastic and the RSI, there is another version with the MACD but I liked this one!
You can also add alerts when all lines turn green or red!
Enjoy!
Chainbey Ai - Swing High/Low Range📈 Chainbey Ai – Swing High / Swing Low Range
Chainbey Ai – Swing High / Swing Low Range is a clean and powerful market-structure indicator designed to automatically identify key swing levels and visualize the active price range on any chart.
This tool helps traders clearly see where price is reacting, consolidating, or preparing for a breakout.
🔹 What This Indicator Does
✔ Automatically detects the latest confirmed Swing High
✔ Automatically detects the latest confirmed Swing Low
✔ Draws horizontal levels for both swings
✔ Labels levels clearly as “Swing High” and “Swing Low”
✔ Highlights the range between swings using a background fill
✔ Updates dynamically as new market structure forms
🔹 Why It’s Useful
Identify support & resistance without manual drawing
Visualize consolidation zones instantly
Spot breakout and fake-out areas faster
Ideal for range trading, breakout trading, and trend confirmation
Works perfectly with price action, volume, and order-flow concepts
🔹 Best Use Cases
Crypto (Spot & Futures)
Forex
Indices
Commodities (Gold, Silver, Oil)
Timeframes: Works on all timeframes (especially strong on 15M, 30M, 1H)
🔹 How to Trade With It
Buy bias when price holds above Swing Low inside the range
Sell bias when price rejects from Swing High
Breakout confirmation when price closes strongly outside the range
Combine with volume, momentum, or liquidity concepts for higher accuracy
🔹 Customization
Adjust Swing Length to control sensitivity
Enable/disable range background fill
Customize colors and transparency
Extend swing levels to the right for forward guidance
⚠️ Disclaimer
This indicator is a technical analysis tool, not financial advice.
Always manage risk and confirm signals with your own strategy.
🔗 Built by Chainbey Ai
Smart Structure • Clean Levels • Clear Ranges 🚀
P&T incl. lijnen en timeframePeaks en Troughs indicator waarin je de timeframe kan opgeven en het aantal minimale candles welke tussen een high en low in moeten zitten. Eventueel kan je deze P&T koppelen met een line.
Today's Session High/Low + Previous LevelsDescription
This indicator combines multiple powerful tools into one clean overlay:
Today’s Session High & Low for Asia, London and New York, automatically drawn only for the current trading day.
Previous High & Low levels based on configurable timeframes (hour, day, week, month or year), including optional filtering and area zones.
EMA Trend Table showing EMA20, EMA50 and EMA200 alignment across multiple timeframes with clear bullish/bearish status.
Designed to help traders quickly identify key intraday levels, higher-timeframe liquidity zones and overall market trend at a glance.
BOS/CHoCH Impulsive Move Detector #12Updated exit logic to measure at candle close vs candle wicks. Added session PnL/hr and implemented a FAST identifier that tracks impulse moves >= 10% <=3 hrs.
Apex ICT: Proximity & Delivery FlowSimple Description: This indicator is a specialized ICT execution tool that automates the identification of Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD). Unlike standard indicators that clutter the screen, this script uses a Proximity Logic Engine to ensure you only see tradeable levels. It automatically purges old data (50-candle CISD limit) and deletes mitigated zones the moment they are breached, leaving you with a clean, institutional-grade chart.
VRVP Clone + Multi-POC -- PerroGordoVRVP Clone + Multi-POC
Overview
VRVP Clone + Multi-POC replicates TradingView's native Visible Range Volume Profile with several practical enhancements. The indicator displays volume distribution across price levels for the visible chart range, which is useful for identifying high-volume nodes, support/resistance zones, and areas of price acceptance.
The main differentiator from the built-in VRVP is support for multiple Point of Control (POC) lines with an intelligent peak detection algorithm. Instead of just showing the single highest-volume level, you can identify distinct volume clusters across different price zones.
Features
Dynamic Visible Range
Recalculates automatically on scroll or zoom
Analyzes only visible bars
Profile width scales proportionally to view
Multiple POC Detection (1-8 levels)
Volume Nodes Mode: Peak detection algorithm finds local volume maxima across distinct price clusters
Highest Rows Mode: Traditional approach - top N rows by raw volume
Configurable minimum separation between nodes to prevent bunching
Individual colors for each POC level
Volume Display Modes
Up/Down: Split bars showing buy vs. sell volume with black outlines for visual separation
Total: Single bar colored by dominant direction
Delta: Net volume (buy minus sell)
Delta Intensity: Gradient coloring indicating buyer/seller dominance strength per row
Value Area
Configurable percentage (default 70%)
VAH and VAL lines with customizable styles
Separate colors for volume inside vs. outside the Value Area
Positioning Options
Left or Right placement
Adjustable profile width as percentage of visible range
Row configuration via "Number of Rows" or "Ticks Per Row"
Additional Features
Statistics table showing bars analyzed, total volume, up/down percentages, price vs POC
POC price labels on chart
Line style options (Solid, Dashed, Dotted)
+++++
How It Works
Volume from each bar is distributed across price rows based on the bar's high-low range. The allocation is proportional - if a bar spans 3 rows with 60% overlap on one row, that row receives 60% of the bar's volume.
Volume Nodes Mode identifies local peaks in the distribution (rows where volume exceeds both neighbors), then selects the highest peaks while enforcing minimum separation. This surfaces distinct support/resistance clusters rather than stacking all POC lines in a single high-volume area.
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Settings
Inputs
Setting - Description
Rows Layout - "Number of Rows" or "Ticks Per Row"
Row Size - Number of rows (24-200) or ticks per row
Volume - "Up/Down", "Total", "Delta", or source selection
Value Area % - Percentage of volume for Value Area (default 70%)
Profile Width % - Width as percentage of visible bars
Placement - "Right" or "Left" side of chart
Enhancements
Setting - Description
Number of POCs | 1-8 POC lines |
POC Mode - "Volume Nodes" (peak detection) or "Highest Rows" (traditional)
Min Node Separation - Minimum rows between nodes (0 = auto-calculate)
Delta Intensity Mode - Gradient coloring by dominance
Show Stats Table - Display analysis statistics
Style
Setting - Description
Up/Down Volume Colors - Buy/sell volume colors
Value Area Colors - Colors for VA regions
POC/VAH/VAL Colors - Line colors and styles
POC 2-8 Colors - Colors for additional POC levels
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Applications
Support/Resistance Identification
High-volume nodes tend to act as price magnets. Multiple POCs reveal layered S/R zones that aren't visible with a single POC.
Fair Value Reference
The Value Area represents where 70% of volume traded. Price tends to revert to this zone.
Volume Gap Analysis
Low-volume areas between POCs indicate prices that were rejected quickly - potential breakout or breakdown levels.
Market Structure
Multiple POCs across price levels show where the market has found acceptance, useful for distinguishing range-bound conditions from trending moves.
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Practical Notes
Volume Nodes mode with 3-5 POCs works well for identifying distinct S/R clusters
Higher row counts give more granular analysis on lower timeframes
Delta Intensity mode quickly shows buyer/seller dominance at each level without the visual noise of split bars
If POCs are too clustered, increase Min Node Separation; if too spread out, decrease it or set to 0 for auto
The stats table vs POC comparison is useful for quick directional bias assessment
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Requirements
Any instrument with volume data
Works well on futures, forex, and liquid equities
Pine Script v6
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Version History
v1.1
- Added Volume Nodes mode with peak detection
- Expanded to 8 POC levels
- Added Min Node Separation setting
- Fixed POC label positioning for left placement
- Added black outlines to Up/Down volume bars
v1.0
- Initial release replicating VRVP with multi-POC enhancement
- Delta Intensity mode
- Statistics table
Aurora Volatility Bands [JOAT]Aurora Volatility Bands - Dynamic ATR-Based Envelope System
Introduction and Purpose
Aurora Volatility Bands is an open-source overlay indicator that creates multi-layered volatility envelopes around price using ATR (Average True Range) calculations. The core problem this indicator solves is that static bands (like fixed percentage envelopes) fail to adapt to changing market conditions. During high volatility, static bands are too tight; during low volatility, they're too wide.
This indicator addresses that by using ATR-based dynamic bands that automatically expand during volatile periods and contract during quiet periods, providing contextually appropriate support/resistance levels at all times.
Why These Components Work Together
The indicator combines three analytical approaches:
1. Triple-Layer Band System - Inner (1x ATR), Outer (2x ATR), and Extreme (3x ATR) bands provide graduated levels of significance
2. Volatility State Detection - Compares current ATR to historical average to classify market regime
3. Multiple MA Types - Allows customization of the center line calculation method
These components complement each other:
The triple-layer system gives traders multiple reference points - inner bands for normal moves, outer for significant moves, extreme for rare events
Volatility state detection tells you WHEN bands are expanding or contracting, helping anticipate breakouts or mean-reversion
MA type selection lets you match the indicator to your trading style (faster EMA vs smoother SMA)
How the Calculation Works
The bands are calculated using ATR multiplied by configurable factors:
float atr = ta.atr(atrPeriod)
float innerUpper = centerMA + (atr * innerMult)
float outerUpper = centerMA + (atr * outerMult)
float extremeUpper = centerMA + (atr * extremeMult)
Volatility state is determined by comparing current ATR percentage to its historical average:
float atrPercent = (atr / close) * 100
float avgAtrPercent = ta.sma(atrPercent, volatilityLookback)
float volatilityRatio = atrPercent / avgAtrPercent
bool isExpanding = volatilityRatio > 1.2 // 20%+ above average
bool isContracting = volatilityRatio < 0.8 // 20%+ below average
Signal Types
Band Touch - Price reaches inner, outer, or extreme bands
Mean Reversion - Price returns to center after touching outer/extreme bands
Breakout - Sustained move beyond outer bands during volatility expansion
Dashboard Information
Volatility - Current state (EXPANDING/CONTRACTING/NORMAL)
Vol Ratio - Current volatility vs average (e.g., 1.5x = 50% above average)
ATR - Current ATR value
ATR % - ATR as percentage of price
Zone - Current price position (EXTREME HIGH/UPPER ZONE/CENTER ZONE/etc.)
Position - Price position as percentage within band structure
Width - Total band width as percentage of price
Using SMA in settings:
How to Use This Indicator
For Mean-Reversion Trading:
1. Wait for price to touch outer or extreme bands
2. Check that volatility state is NORMAL or CONTRACTING (not expanding)
3. Look for reversal candlestick patterns at the band
4. Enter toward center MA with stop beyond the band
For Breakout Trading:
1. Wait for volatility state to show EXPANDING
2. Look for price closing beyond outer bands
3. Enter in direction of breakout
4. Use the band as trailing stop reference
For Volatility Analysis:
1. Monitor volatility ratio for regime changes
2. CONTRACTING often precedes large moves (squeeze)
3. EXPANDING confirms trend strength
Using VWMA and Mean Reversion Signal/MR:
Input Parameters
ATR Period (14) - Period for ATR calculation
Inner/Outer/Extreme Multipliers (1.0/2.0/3.0) - Band distance from center
MA Type (EMA) - Center line calculation method
MA Period (20) - Period for center line
Volatility Comparison Period (20) - Lookback for volatility state
Timeframe Recommendations
15m-1H: Good for intraday mean-reversion
4H-Daily: Best for swing trading and breakout identification
Weekly: Useful for position trading and major level identification
Limitations
ATR-based bands lag during sudden volatility spikes
Mean-reversion signals can fail in strong trends
Breakout signals may whipsaw in ranging markets
Works best on liquid instruments with consistent volatility patterns
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works.
This indicator does not constitute financial advice. Band touches do not guarantee reversals. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses.
- Made with passion by officialjackofalltrades
BB6-MTF-OverlayBB6-MTF-Overlay (Multi-Bollinger Bands, MTF, Overlay)
BB6-MTF-Overlay is a Bollinger Bands overlay indicator that lets you display up to 6 independent BB sets on a single chart, with full MTF (higher timeframe) support.
It’s designed for fast multi-timeframe context—so you can see where price is relative to higher-timeframe BB levels (middle / ±1σ / ±2σ / ±3σ) while trading your current timeframe.
Key Features
Up to 6 Bollinger Band sets displayed simultaneously (overlay)
Per BB set: choose Local (current TF) or MTF (higher TF via security)
Per BB set: Gaps ON/OFF
ON: values may appear only at HTF update points (discontinuous)
OFF: HTF values are filled across lower TF bars (step-like)
Per BB set: Confirmed Bars Mode ON/OFF
ON: uses confirmed HTF values (minimizes repainting)
OFF: follows the in-progress HTF bar (useful for discretionary trading)
Per BB set: toggle visibility for Middle / ±σ1 / ±σ2 / ±σ3 independently
Custom sigma multipliers (e.g., 1.5σ, 0.6σ) for fine tuning
Separate switches for Calculation ON/OFF and Display ON/OFF
Turn off calculations to reduce load, or hide plots only
Typical Use Cases
Use higher timeframe (4H/D/W) BB middle and ±1σ as “structure walls” while executing on lower timeframe
Combine real-time tracking (e.g., 15m BB with Confirmed OFF) with stable HTF anchors (e.g., Daily/Weekly with Confirmed ON)
Keep ±2σ/±3σ OFF by default and enable them only when you need to check range expansion or extremes
Default Preset (Initial Settings)
BB1: 15m MTF (Confirmed Bars Mode OFF)
BB2: 4H MTF (Confirmed Bars Mode OFF)
BB3: Daily MTF (Confirmed Bars Mode ON)
BB4: Weekly MTF (Confirmed Bars Mode ON)
BB5: Monthly MTF (Confirmed Bars Mode ON)
BB6: Calculation OFF / Display OFF
For all active BB sets: σ1 ON by default, σ2 & σ3 OFF by default
Notes
With MTF + Confirmed OFF, band values will move until the higher timeframe bar closes (intended for discretionary use).
If the chart looks too busy, disable unused BB sets or turn off σ2/σ3.
📌 BB6-MTF-Overlay(ボリンジャーバンド6本・MTF対応・Overlay)
BB6-MTF-Overlay は、最大6セットのボリンジャーバンドを同時にチャート上へ重ねて表示できる、MTF(上位足参照)対応のBollinger Bandsインジケーターです。
🕒 15分/4時間/日足/週足/月足など、複数時間軸のボリンジャーを1つのチャートで確認できるため、環境認識(上位足の位置関係)+現在足の判断をスムーズに行えます。
✨ 主な特徴
📈 最大6本のボリンジャーバンドを同時表示(Overlay)
🔁 各BBごとに Local(現在足) / MTF(上位足) を選択可能
🧩 各BBごとに ギャップON/OFF(上位足更新点のみ表示/階段状に埋める表示)を切替
✅ 各BBごとに 確定足モードON/OFF
ON:上位足確定値(リペイント最小)
OFF:進行中の上位足にも追随(裁量補助向け)
🎚️ 各BBごとに ミドル/±σ1/±σ2/±σ3 を個別に表示ON/OFF
🔧 σ値は自由入力(例:1.5σ、0.6σ など微調整可)
⚙️ 計算ON/OFFと表示ON/OFFを分離
表示だけ消す/計算ごと止めて軽くする、の両方に対応
🧠 想定する使い方(例)
🧱 上位足(4H/日足/週足)のミドル・±1σを「壁」として見て、今の足(5分/15分)での反発・抜けを判断
🏃 「15分BB(確定足OFF)」でリアルタイム追随しつつ、「日足/週足(確定足ON)」で大局の位置を固定して確認
🔍 σ2・σ3は普段OFF、必要なときだけONにしてレンジ幅・伸び代を確認
🧾 デフォルト設定(初期状態)
1️⃣ BB1:15分MTF(確定足モードOFF)
2️⃣ BB2:4時間MTF(確定足モードOFF)
3️⃣ BB3:日足MTF(確定足モードON)
4️⃣ BB4:週足MTF(確定足モードON)
5️⃣ BB5:月足MTF(確定足モードON)
6️⃣ BB6:計算OFF/表示OFF
🎛️ 初期表示は全BB共通で「1σのみON(2σ・3σはOFF)」
⚠️ 注意事項
🔄 MTFで「確定足モードOFF(追随)」を使用する場合、上位足が確定するまで値が動くため、見え方が変化します(裁量補助向け)。
🧹 表示本数が増えるとチャートが混み合うため、必要なBBだけ表示ONにする運用がおすすめです。
Quantum Reversal Detector [JOAT]
Quantum Reversal Detector - Multi-Factor Reversal Probability Analysis
Introduction and Purpose
Quantum Reversal Detector is an open-source overlay indicator that combines multiple reversal detection methods into a unified probability-based framework. The core problem this indicator addresses is the unreliability of single-factor reversal signals. A price touching support means nothing without momentum confirmation; an RSI oversold reading means nothing without price structure context.
This indicator solves that by requiring multiple independent factors to align before generating reversal signals, then expressing the result as a probability score rather than a binary signal.
Why These Components Work Together
The indicator combines five analytical approaches, each addressing a different aspect of reversal detection:
1. RSI Extremes - Identifies momentum exhaustion (overbought/oversold)
2. MACD Crossovers - Confirms momentum direction change
3. Support/Resistance Proximity - Ensures price is at a significant level
4. Multi-Depth Momentum - Analyzes momentum across multiple timeframes
5. Statistical Probability - Quantifies reversal likelihood using Bayesian updating
These components are not randomly combined. Each filter catches reversals that others miss:
RSI catches momentum exhaustion but misses structural reversals
MACD catches momentum shifts but lags price action
S/R proximity catches structural levels but ignores momentum
Multi-depth momentum catches divergences across timeframes
Probability scoring combines all factors into actionable confidence levels
How the Detection System Works
Step 1: Pattern Detection
The indicator first identifies potential reversal conditions:
// Check if price is at support/resistance
float lowestLow = ta.lowest(low, period)
float highestHigh = ta.highest(high, period)
bool atSupport = low <= lowestLow * 1.002
bool atResistance = high >= highestHigh * 0.998
// Check RSI conditions
float rsi = ta.rsi(close, 14)
bool oversold = rsi < 30
bool overbought = rsi > 70
// Check MACD crossover
float macd = ta.ema(close, 12) - ta.ema(close, 26)
float signal = ta.ema(macd, 9)
bool macdBullish = ta.crossover(macd, signal)
bool macdBearish = ta.crossunder(macd, signal)
// Combine for reversal detection
if atSupport and oversold and macdBullish
bullishReversal := true
Step 2: Multi-Depth Momentum Analysis
The indicator calculates momentum across multiple periods to detect divergences:
calculateQuantumMomentum(series float price, simple int period, simple int depth) =>
float totalMomentum = 0.0
for i = 0 to depth - 1
int currentPeriod = period * (i + 1)
float momentum = ta.roc(price, currentPeriod)
totalMomentum += momentum
totalMomentum / depth
This creates a composite momentum reading that smooths out noise while preserving genuine momentum shifts.
Step 3: Bayesian Probability Calculation
The indicator uses Bayesian updating to calculate reversal probability:
bayesianProbability(series float priorProb, series float likelihood, series float evidence) =>
float posterior = evidence > 0 ? (likelihood * priorProb) / evidence : priorProb
math.min(math.max(posterior, 0.0), 1.0)
The prior probability starts at 50% and updates based on:
RSI extreme readings increase likelihood
MACD crossovers increase likelihood
S/R proximity increases likelihood
Momentum divergence increases likelihood
Step 4: Confidence Intervals
Using Monte Carlo simulation concepts, the indicator estimates price distribution:
monteCarloSimulation(series float price, series float volatility, simple int iterations) =>
float sumPrice = 0.0
float sumSqDiff = 0.0
for i = 0 to iterations - 1
float randomFactor = (i % 10 - 5) / 10.0
float simulatedPrice = price + volatility * randomFactor
sumPrice += simulatedPrice
float avgPrice = sumPrice / iterations
// Calculate standard deviation for confidence intervals
This provides 95% and 99% confidence bands around the current price.
Signal Classification
Signals are classified by confirmation level:
Confirmed Reversal : Pattern detected for N consecutive bars (default 3)
High Probability : Confirmed + Bayesian probability > 70%
Ultra High Probability : High probability + PDF above average
Dashboard Information
The dashboard displays:
Bayesian Probability - Updated reversal probability (0-100%)
Quantum Momentum - Multi-depth momentum average
RSI - Current RSI value with overbought/oversold status
Volatility - Current ATR as percentage of price
Reversal Signal - BULLISH, BEARISH, or NONE
Divergence - Momentum divergence detection
MACD - Current MACD histogram value
S/R Zone - AT SUPPORT, AT RESISTANCE, or NEUTRAL
95% Confidence - Price range with 95% probability
Bull/Bear Targets - ATR-based reversal targets
Visual Elements
Quantum Bands - ATR-based upper and lower channels
Probability Field - Circle layers showing probability distribution
Confidence Bands - 95% and 99% confidence interval circles
Reversal Labels - REV markers at confirmed reversals
High Probability Markers - Star diamonds at high probability setups
Reversal Zones - Boxes around confirmed reversal areas
Divergence Markers - Triangles at momentum divergences
How to Use This Indicator
For Reversal Trading:
1. Wait for Bayesian Probability to exceed 70%
2. Confirm price is at S/R zone (dashboard shows AT SUPPORT or AT RESISTANCE)
3. Check that RSI is in extreme territory (oversold for longs, overbought for shorts)
4. Enter when REV label appears with high probability marker
For Risk Management:
1. Use the 95% confidence band as a stop-loss reference
2. Use Bull/Bear Targets for take-profit levels
3. Higher probability readings warrant larger position sizes
For Filtering False Signals:
1. Increase Confirmation Bars to require more consecutive signals
2. Only trade when probability exceeds 70%
3. Require divergence confirmation for highest conviction
Input Parameters
Reversal Period (21) - Lookback for S/R and momentum calculations
Quantum Depth (5) - Number of momentum layers for multi-depth analysis
Confirmation Bars (3) - Consecutive bars required for confirmation
Detection Sensitivity (1.2) - Band width and target multiplier
Bayesian Probability (true) - Enable probability calculation
Monte Carlo Simulation (true) - Enable confidence interval calculation
Normal Distribution (true) - Enable PDF calculation
Confidence Intervals (true) - Enable confidence bands
Timeframe Recommendations
1H-4H: Best for swing trading reversals
Daily: Fewer but more significant reversal signals
15m-30m: More signals, requires higher probability threshold
Limitations
Statistical concepts are simplified implementations for Pine Script
Monte Carlo uses deterministic pseudo-random factors, not true randomness
Bayesian probability uses simplified prior/likelihood model
Reversal detection does not guarantee actual reversals will occur
Confirmation bars add lag to signal generation
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works.
This indicator does not constitute financial advice. Reversal detection is probabilistic, not predictive. The probability scores represent statistical likelihood based on historical patterns, not guaranteed outcomes. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses.
- Made with passion by officialjackofalltrades
Broadening Formation Structure Review ToolThis script provides an educational, checklist-based framework for studying Broadening Formations together with basic Strat-style reversal behavior and higher-timeframe direction. It is designed to show multiple structural conditions in one place so users can observe how they interact. It does not execute trades, generate signals, or provide financial advice.
What makes this script original is the integration of four components into a single logical framework:
• dynamic tracking of Broadening Formation high/low levels
• proximity evaluation relative to those levels
• classification of simple bar reversal behavior
• higher-timeframe open–close continuity checks
Instead of using these concepts as separate tools, the script combines them into a single checklist so users can see when multiple conditions occur at the same time.
Broadening Formation levels may be user-defined or automatically derived using:
• unlimited dynamic expansion
• range-limited dynamic expansion
• swing-pivot detection
• manual input mode
Users may also optionally lock levels once a structure is identified.
Proximity to BF levels can be measured in several ways, including percentage, ticks, points, dollars, ATR multiples, or expected-move multiples. The script can also detect when price takes out BF highs or lows.
The script classifies basic Strat-style price behavior, including:
• two-up / two-down moves
• outside bars
• failed 2U/2D reversals
• 2D→2U and 2U→2D reversals
A selectable higher timeframe (such as 60, 240, D, W, or M) is used to evaluate direction by comparing the higher-timeframe open and close.
The on-chart table summarizes:
• current BF High and BF Low levels
• proximity status relative to those levels
• whether BF highs or lows have been taken out
• reversal classification results
• higher-timeframe direction
• theoretical risk distance and 2R/3R projections
Optional alerts can notify when three-condition or four-condition checklist alignment occurs, based only on the logical rules visible in the script. Optional chart lines for BF levels may also be displayed.
Transparency and behavior notes
• swing pivots repaint until confirmed
• higher-timeframe direction is only final at bar close
• dynamically derived BF levels may update as price forms new extremes
This script is intended purely for market-structure study and education. It does not guarantee performance, predict outcomes, or recommend trades.
Cantillon DashboardA dashboard based on my trading regime.
If you want you can use it as a scanner but subscribe to my daily trading newsletter and get my terminal regime here on TV.
Thanks a lot for supporting me.
Final Project Midpoint Package (4H / D / W) Layer 1This script runs based off of the higher timeframe candlesticks. (4HR and Daily)
This strategy is simple and is based on your logic as well. I personally use all 5 strategies on one chart however those are being tested. As soon as you get it you will see allot on the screen , just open the setting and turn off the extra bands from the 4HR and the Daily. Fix your settings however you seem fit . Once the others are finished testing i will release those also. Will be adding updates as it progresses.
Chainbey Ai - Previous Day High & Low📌 Chainbey Ai – Previous Day High & Low (Source Candle)
This indicator automatically plots the Previous Day High (PDH) and Previous Day Low (PDL) on any intraday chart, starting from the exact candle where those levels were formed — not from the new day open. This removes visual gaps and gives a more accurate market structure view.
🔹 Key Features
✅ Accurate PDH & PDL levels based on the full previous trading day
🎯 Lines start from the actual high/low candle (no artificial gap)
🏷️ Optional PDH / PDL labels placed directly on source candles
🟦 Optional range background fill between PDH and PDL
📊 Works perfectly on 5m, 15m, 30m, 1H intraday charts
⚡ Lightweight, clean, and repaint-safe
🧠 Best Use Cases
Liquidity sweep & stop-hunt detection
Breakout vs fake-breakout analysis
Support / resistance from prior session
London & New York session bias confirmation
⚠️ Notes
Levels are calculated using the broker’s daily session
Designed for intraday trading, not daily/weekly charts
Momentum Trend & Ignition DashboardDescription
Rationale & Originality Traders often struggle with chart clutter, needing separate indicators for Moving Averages, Volume anomalies, and Fundamental stats (like 52-week highs or Float). This script solves this problem by creating a unified "Momentum Dashboard." It is not just a collection of averages; it is a purpose-built tool for Breakout and Trend Following strategies (such as CAN SLIM or VCP).
The uniqueness of this script lies in its "Confluence Logic": it allows a trader to instantly validate a setup by checking three pillars simultaneously without changing tabs:
Trend: Are the key MAs (20, 50, 100, 200) stacked correctly?
Ignition: Is there a "Power Play" (Big Price Move + Heavy Volume) occurring right now?
Stats: Is the stock near its 52-week high, and does it have a supportive Up/Down Volume Ratio?
How It Works (Detailed Calculations)
1. Custom Trend Ribbon (4x MA Mix):
The script plots 4 independent Moving Averages.
Innovation: Unlike standard inputs, each MA can be individually toggled between SMA (Simple) or EMA (Exponential). This allows traders to mix "Fast" trend lines (e.g., 10 or 20 EMA) with "Slow" institutional lines (e.g., 50 or 200 SMA) in one overlay.
2. "Purple Dot" Ignition Detection:
This features a custom detection algorithm for "Ignition Bars."
Logic: It compares the current candle's Close to the previous Close. If the move exceeds a user-defined threshold (default 5%) AND the Volume exceeds a fixed liquidity threshold (default 500k), a Purple Dot is plotted.
This filters out "low volume drift" and highlights true institutional participation.
3. Relative Volume (RVol) Engine:
Calculates the ratio of Current Volume to the 50-period SMA of Volume.
Visuals: If the ratio exceeds the user threshold (e.g., 1.5x average), the dashboard highlights the data, and optionally the chart bars, alerting the trader to unusual activity.
4. Statistical Dashboard (Data Panel):
Using request.security, the panel fetches daily timeframe data regardless of the chart view.
52-Week & 13-Week H/L: Calculates the percentage distance from these key levels to gauge overhead supply.
U/D Ratio: Calculates the sum of volume on "Up Days" vs. "Down Days" over 50 periods. A value > 1.0 suggests institutional accumulation.
Float %: (Stocks Only) Fetches financial data to show the percentage of shares available for trading.
How to Use This Script
This script is designed for Trend Following and Breakout Trading:
The Setup: Use the Data Panel to find stocks with a U/D Ratio > 1.0 and price within 15% of the 52-Week High.
The Trend: Ensure price is above the MA 2 (set to 50 SMA) and MA 4 (set to 200 SMA) to confirm a Stage 2 uptrend.
The Trigger: Watch for the Purple Dot.
If a Purple Dot appears as price breaks out of a consolidation (base), it confirms institutional buying.
Use the RVol panel to confirm that volume is at least 1.5x normal levels.
Risk Management: Use the MA 1 (set to 20 EMA) as a trailing stop-loss during strong trends.
Settings & Configuration
MAs: Fully adjustable Length and Type (SMA/EMA).
Big Move (Purple Dot): Adjust the % Move based on asset volatility (e.g., use 3% for Large Caps, 10% for Crypto).
Table: The data panel is fully dynamic. You can toggle specific rows (like Float or SMA distance) On/Off to save screen space, and position it anywhere on the chart.
Credits & References
The concept of Relative Volume (RVol) and U/D Ratio is derived from standard Volume Analysis used by William O'Neil.
The "Big Move" combined with Volume thresholds is based on standard Volume Spread Analysis (VSA) concepts regarding "Effort vs. Result."
Financial data fetch (Float) utilizes TradingView's built-in financial() library.
Hybrid Super Trend & Trend Tablea combination of 3 supertrends into 1 trend line, plus 2 ema lines and a timeframe trend table.
Top Performer Dashboard (22 Stocks)added to your chart you can add up to 22 individual stocks, it will rank them from highest to lowest growth over 4 time frames, 1 week, 1 month, 3 month and 6 months. you can sort the results by each time frame.
please enjoy






















