Fractal Market Model [BLAZ]Version 1.0 – Published August 2025: Initial release
1. Overview & Purpose
1.1. What This Indicator Does
The Fractal Market Model is an original multi-timeframe technical analysis tool that bridges the critical gap between macro-level market structure and micro-level price execution. Designed to work across all financial markets including Forex, Stocks, Crypto, Futures, and Commodities. While traditional Smart Money Concepts indicators exist, this implementation analyses multi-timeframe liquidity zones and price action shifts, marking potential reversal points where Higher Timeframe (HTF) liquidity sweeps coincide with Low Timeframe (LTF) price action dynamics changes.
Snapshot details: NASDAQ:GOOG , 1W Timeframe, Year 2025
1.2. What Sets This Indicator Apart
The Fractal Market Model analyses multi-timeframe correlations between HTF structural events and LTF price action. This creates a dynamic framework that reveals patterns observed historically in price behaviour that are believed to reflect institutional activity across multiple time dimensions.
The indicator recognizes that markets move in fractal cycles following the AMDX pattern (Accumulation, Manipulation, Distribution, Continuation/Reversal). By tracking this pattern across timeframes, it flags zones where price action dynamics characteristics have historically shown shifts. In the LTF, the indicator monitors for price closing through the open of an opposing candle near HTF swing highs or lows, marking this as a Change in State of Delivery (CISD), a threshold event where price action historically transitions direction.
Practical Value:
Multi-Timeframe Integration: Connects HTF structural events with LTF execution patterns.
Fractal Pattern Recognition: Identifies AMDX cycles across different time dimensions.
Price Behavior Analysis: Tracks CISD patterns that may reflect historical shifts in order flow commonly associated with institutional activity.
Range-Based Context: Analyses price action within established HTF liquidity zones.
1.3. How It Works
The indicator employs a systematic 5-candle HTF tracking methodology:
Candles 0-1: Accumulation phase identification.
Candle 2: Manipulation detection (raids previous highs/lows).
Candle 3: Distribution phase recognition.
Candle 4: Continuation/reversal toward opposite liquidity.
The system monitors for CISD patterns on the LTF when HTF manipulation candles close with confirmed sweeps, highlighting zones where order flow dynamics historically shifted within the established HTF range.
Snapshot details: FOREXCOM:AUDUSD , 1H Timeframe, 17 to 28 July 2025
Note: The Candle 0-5 and AMDX labels shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
2. Visual Elements & Components
2.1. Complete FMM Setup Overview
A fully developed Fractal Market Model setup displays multiple analytical components that work together to provide comprehensive market structure analysis. Each visual element serves a specific purpose in identifying and tracking the AMDX cycle across timeframes.
2.2. Core Visual Components
Snapshot details: FOREXCOM:EURUSD , 5 Minutes Timeframe, 27 May 2025.
Note: The numbering labels 1 to 14 shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
2.2.1. HTF Structure Elements
(1) HTF Candle Visualization: Displays the 5-candle sequence being tracked (configurable quantity up to 10).
(2) HTF Candle Labels (C2-C4): Numbered identification for each candle in the AMDX cycle.
(3) HTF Resolution Label: Shows the higher timeframe being analysed.
(4) Time Remaining Indicator: Countdown to HTF candle closure.
(5) Vertical Separation Lines: Clearly delineates each HTF candle period.
2.2.2. Key Price Levels
(6) Liquidity Levels: High/low levels from HTF candles 0 and 1 representing potential target zones.
(7) Sweep Detection Lines: Marks where previous HTF candle extremes have been breached on both HTF and LTF.
(8) HTF Candle Mid-Levels: 50% retracement levels of previous HTF candles displayed on current timeframe.
(9) Open Level Marker: Shows the opening price of the most recent HTF candle.
2.2.3. Institutional Analysis Tools
(10) CISD Line: Marks the Change in State of Delivery pattern identification point.
(11) Consequent Encroachment (CE): Mid-level of identified institutional order blocks.
(12) Potential Reversal Area (PRA): Zone extending from previous candle close to the mid-level.
(13) Fair Value Gap (FVG): Identifies imbalance areas requiring potential price revisits.
(14) HTF Time Labels: Individual time period labels for each HTF candle.
2.3. Interactive Features
All visual elements update dynamically as new price data confirms or invalidates the tracked patterns, providing real-time market structure analysis across the selected timeframe combination.
3. Input Parameters and Settings
3.1. Alert Configuration
Setup Notifications: Users can configure alerts to receive notifications when new FMM setups form based on their selected bias, timeframes, and filters. Enable this feature by:
Configure the bias, timeframes and filters and other settings as desired.
Toggle the "Alerts?" checkbox to ON in indicator settings.
On the chart, click the three dots menu beside the indicator's name or press Alt + A.
Select "Add Alert" and click “Create” to activate the alert.
3.2. Display Control Settings
3.2.1. Historical Setup Quantity
Setup Display Control: Customize how many historical setups appear on the chart, with support for up to 50 combined entries. The indicator displays both bullish and bearish FMM setups within the selected limit, including invalidated scenarios. For example, selecting "3 setups" will display the most recent combination of bullish and bearish patterns based on the model's detection logic.
Snapshot details: BINANCE:BTCUSD , 1H Timeframe, 27-Feb to 11-Mar 2025
Note: The labels “Setup 1, 2 & 3: Bullish or Bearish” shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
3.2.2. Directional Bias Filter
Bias Filter: Control which setups are displayed based on directional preference:
Bullish Only: Shows exclusively upward bias setups.
Bearish Only: Shows exclusively downward bias setups.
Balanced Mode: Displays both directional setups.
This flexibility helps align the indicator's output with broader market analysis or trading framework preferences. The chart below illustrates the same chart in 3.2.1. but when filtered to show only bullish setups.
Snapshot details: BINANCE:BTCUSD , 1H Timeframe, 27-Feb to 11-Mar 2025
Note: The labels “Setup 1, 2 & 3: Bullish” shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
3.2.3. Invalidated Setup Display
Invalidation Visibility: A setup becomes invalidated when price moves beyond the extreme high or low of the Manipulation candle (C2), indicating that the expected fractal pattern has been disrupted. Choose whether to display or hide setups that have been invalidated by subsequent price action. This feature helps maintain chart clarity while preserving analytical context:
Amber Labels: Setups invalidated at Candle 3 (C3).
Red Labels: Setups invalidated at Candle 4 (C4).
Count Preservation: Invalidated setups remain part of the total setup count regardless of visibility setting.
Below image illustrates balanced setups:
Left side: 1 bearish valid setup, with 2 invalidated setups visible.
Right side: 1 bearish valid setup, with 2 invalidated setups hidden for chart clarity.
Snapshot details: FOREXCOM:GBPJPY , 5M Timeframe, 30 July 2025
3.3. Timeframe Configuration
3.3.1. Multi-Timeframe Alignment
Custom Timeframe Selection: Configure preferred combinations of Higher Timeframe (HTF) and Lower Timeframe (LTF) for setup generation. While the indicator includes optimized default alignments (1Y –1Q, 1Q –1M, 1M –1W, 1M –1D, 1W–4H, 1D–1H, 4H-30m, 4H –15m, 1H –5m, 30m –3m, 15m –1m), users can define custom HTF-LTF configurations to suit their analysis preferences and market focus.
The image below illustrates two different HTF – LTF configuration, both on the 5 minutes chart:
Right side: Automatic multi-timeframe alignment, where the indicator autonomously sets the HTF pairing to 1H when the current chart timeframe is the 5 minutes.
Left side: Custom Timeframe enabled, where HTF is manually set to 4H, and LTF is manually set to 15 minutes, while being on the 5 minutes chart.
Snapshot details: FOREXCOM:GBPJPY , 5 minutes timeframe, 30 July 2025
3.3.2. Session-Based Filtering
Visibility Filters: Control when FMM setups appear using multiple filtering options:
Time-Based Controls:
Show Below: Limit setup visibility to timeframes below the selected threshold.
Use Session Filter: Enable session-based time window restrictions.
Session 1, 2, 3: Configure up to three custom time sessions with start and end times.
These filtering capabilities help concentrate analysis on specific market periods or timeframe contexts.
The image below illustrates the application of session filters:
Left side: The session filter is disabled, resulting in four setups being displayed throughout the day—two during the London session and two during the New York session.
Right side: The session filter is enabled to display setups exclusively within the New York session (8:00 AM – 12:00 PM). Setups outside this time window are hidden. Since the total number of setups is limited to four, the indicator backfills by identifying and displaying two qualifying setups from earlier price action that occurred within the specified New York session window.
Snapshot details: COMEX:GC1! , 5 minutes Timeframe, 29 July 2025
3.4. Annotation Systems
3.4.1. Higher Timeframe (HTF) Annotations
HTF Display Control: Enable HTF visualization using the "HTF candles" checkbox with quantity selector (default: 5 candles, expandable to 10). This displays all HTF elements detailed in the Visual Components section 2.2. above.
Customisation Categories:
Dimensions: Adjust candle offset, gap spacing, and width for optimal chart fit.
Colours: Customize body, border, and wick colours for bullish/bearish candle differentiation.
Style Options: Control line styles for HTF opens, sweep lines, and equilibrium levels.
Feature Toggles: Enable/disable Fair Value Gaps, countdown labels, and individual candle labelling.
All HTF annotation elements support individual styling controls to maintain visual clarity while preserving analytical depth. The image below shows two examples: the left side has customized styling applied, while the right side shows the default appearance.
Snapshot details: CME_MINI:NQ1! , 5 minutes Timeframe, 29 July 2025
3.4.2. Lower Timeframe (LTF) Annotations
LTF Display Control: Comprehensive annotation system for detailed execution analysis, displaying all LTF elements outlined in the Visual Components section 2.2. above.
Customization Categories:
Core Elements: Control HTF separation lines, sweep markers, CISD levels, and candle phase toggles (C2, C3, C4) to selectively show or hide the LTF annotations for each of these specific HTF candle phases.
Reference Levels: Adjust previous equilibrium lines, CISD consequent encroachment, and HTF liquidity levels.
Analysis Tools: Enable potential holding area (PHA) markers.
Styling Options: Individual visibility toggles, colour schemes, line styles, and thickness controls for each element.
All LTF components support full customization to maintain chart clarity while providing precise execution context. The image below shows two examples: the left side has customized styling applied, while the right side shows the default appearance.
Snapshot details: TVC:DXY , 5 minutes Timeframe, 28 July 2025
3.5. Performance Considerations
Higher setup counts and extended HTF displays may impact chart loading times. Adjust settings based on device performance and analysis requirements.
4. Closed-Source Protection Justification
4.1. Why This Indicator Requires Protected Source Code
The Fractal Market Model is the result of original research, development, and practical application of advanced price action frameworks. The indicator leverages proprietary algorithmic systems designed to interpret complex market behavior across multiple timeframes. To preserve the integrity of these innovations and prevent unauthorized replication, the source code is protected.
4.1.1. Key Proprietary Innovations
Real-Time Multi-Timeframe Correlation Engine: A dynamic logic system that synchronizes higher timeframe structural behaviour with lower timeframe execution shifts using custom correlation algorithms, adaptive thresholds, and time-sensitive conditions, supporting seamless fractal analysis across nested timeframes.
CISD Detection Framework: A dedicated mechanism for identifying Change in State of Delivery (CISD), where price closes through the open of an opposing candle at or near HTF swing highs or lows after liquidity has been swept. This is used to highlight potential zones of directional change based on historical order flow dynamics.
Fractal AMDX Cycle Recognition: An engineered structure that detects and classifies phases of Accumulation, Manipulation, Distribution, and Continuation/Reversal (AMDX) across configurable candle sequences, allowing traders to visualize market intent within a repeatable cycle model.
Dynamic Invalidation Logic: An automated monitoring system that continually evaluates the validity of active setups. Setups are invalidated in real time when price breaches the extreme of the manipulation phase (C2), ensuring analytical consistency and contextual alignment.
4.1.2. Community Value
The closed-source nature of this tool protects the author’s original intellectual property while still delivering value to the TradingView community. The indicator offers a complete, real-time visual framework, educational annotations, and intuitive controls for analysing price action structure and historically observed patterns commonly attributed to institutional behaviour across timeframes.
5. Disclaimer & Terms of Use
This indicator, titled Fractal Market Model , has been independently developed by the author based on their own study, interpretation, and practical application of the smart money concepts. The code and structure of this indicator are original and were written entirely from scratch to reflect the author's unique understanding and experience. This indicator is an invite-only script. It is closed-source to protect proprietary algorithms and research methodologies.
This tool is provided solely for educational and informational purposes. It is not intended—and must not be interpreted—as financial advice, investment guidance, or a recommendation to buy or sell any financial instrument. The indicator is designed to assist with technical analysis based on market structure theory but does not guarantee accuracy, profitability, or specific results.
Trading financial markets involves significant risk, including the possibility of loss of capital. By using this indicator, you acknowledge and accept that you are solely responsible for any decisions you make while using the tool, including all trading or investment outcomes. No part of this script or its features should be considered a signal or assurance of success in the market.
By subscribing to or using the indicator, you agree to the following:
You fully assume all responsibility and liability for the use of this product.
You release the author from any and all liability, including losses or damages arising from its use.
You acknowledge that past performance—real or hypothetical—does not guarantee future outcomes.
You understand that this indicator does not offer personalised advice, and no content associated with it constitutes a solicitation of financial action.
You agree that all purchases are final. Once access is granted, no refunds, reimbursements, or chargebacks will be issued under any circumstance.
You agree to not redistribute, resell, or reverse engineer the script or any part of its logic.
Users are expected to abide by all platform guidelines while using or interacting with this tool. For access instructions, please refer to the Author's Instructions section or access the tool through the verified vendor platform.
Trend Analysis
ICT Order Blocks HTFICT Order Blocks HTF (with Parent Swing Confirmation)
This indicator is a powerful tool designed to identify high-probability Higher-Timeframe (HTF) Order Blocks by confirming them with significant liquidity sweeps on your trading chart. It combines two core ICT (Inner Circle Trader) concepts to filter out noise and highlight only the most sensitive areas.
The Core Concept: A High-Probability Model
The most powerful trading setups often occur when a significant event on a lower timeframe happens at a key area on a higher timeframe. This indicator automates that analysis by looking for a specific confluence:
A Liquidity Sweep (LTF): First, it identifies a "Parent Swing" on your current chart. This is a significant swing high (BSL - Buy Side Liquidity) or swing low (SSL - Sell Side Liquidity) that has been validated by a market structure shift. These are the key liquidity pools the market targets.
An Order Block (HTF): Separately, it looks at a higher timeframe of your choice (e.g., 15m, 1H) to find institutional order blocks—the last up or down candle before a strong move.
The Confluence: The magic happens here. The indicator will only draw an HTF order block on your chart if it forms at the exact moment the price is interacting with one of the BSL or SSL liquidity pools from your current chart.
This dual confirmation provides a refined, high-probability signal, indicating that a major liquidity event is fueling a reaction from a significant HTF level.
What the Indicator Does
Identifies Parent Swings: In the background, it constantly tracks and identifies BSL (red lines) and SSL (green lines) on your chart.
Finds HTF Order Blocks: It looks for bullish (last down-candle) and bearish (last up-candle) order blocks on the higher timeframe you select.
Draws Confirmed Zones: It draws a Bullish OB (Blue Box) only when an HTF bullish order block forms at an SSL level. It draws a Bearish OB (Orange Box) only when an HTF bearish order block forms at a BSL level.
Marks Key Levels: Each order block is automatically drawn with dashed lines marking its high, low, and midpoint (50% level) for precise entry and risk management.
Real-Time Invalidation: The order blocks extend into the future and are tracked in real-time. If price closes through a block a specified number of times, the zone is considered invalid and will be dimmed, keeping your chart clean.
How to Use This Indicator
The primary use for this indicator is to identify high-probability entry zones.
When a Bullish Order Block (Blue) appears, it signals a potential area of demand where you might look for long entries.
When a Bearish Order Block (Orange) appears, it signals a potential area of supply where you might look for short entries.
The internal lines (high, low, midpoint) can be used for more precise entries or for setting stop-loss levels.
Settings
Higher Timeframe for Order Blocks: Choose the HTF you want the indicator to analyze for order blocks (e.g., 15m, 1H, 4H).
OB Invalidation Threshold: Set how many times price must close fully through an order block before it is considered invalid.
Parent Swing Settings: You can adjust the lookback periods and invalidation threshold for the BSL/SSL detection to match your trading style. A larger lookback will find more significant liquidity pools.
Disclaimer: This indicator is a tool to assist in technical analysis. It is not a standalone trading system and does not provide financial advice. Always use proper risk management and combine this tool with your own analysis and trading strategy.
Neural Network Buy and Sell SignalsTrend Architect Suite Lite - Neural Network Buy and Sell Signals
Advanced AI-Powered Signal Scoring
This indicator provides neural network market analysis on buy and sell signals designed for scalpers and day traders who use 30s to 5m charts. Signals are generated based on an ATR system and then filtered and scored using an advanced AI-driven system.
Features
Neural Network Signal Engine
5-Layer Deep Learning analysis combining market structure, momentum, and market state detection
AI-based Letter Grade Scoring (A+ through F) for instant signal quality assessment
Normalized Input Processing with Z-score standardization and outlier clipping
Real-time Signal Evaluation using 5 market dimensions
Advanced Candle Types
Standard Candlesticks - Raw price action
Heikin Ashi - Trend smoothing and noise reduction
Linear Regression - Mathematical trend visualization
Independent Signal vs Display - Calculate signals on one type, display another
Key Settings
Signal Configuration
- Signal Trigger Sensitivity (Default: 1.7) - Controls signal frequency vs quality
- Stop Loss ATR Multiplier (Default: 1.5) - Risk management sizing
- Signal Candle Type (Default: Candlesticks) - Data source for signal calculations
- Display Candle Type (Default: Linear Regression) - Visual candle display
Display Options
- Signal Distance (Default: 1.35 ATR) - Label positioning from price
- Label Size (Default: Medium) - Optimal readability
Trading Applications
Scalping
- Fast pace signal detection with quality filtering
- ATR-based stop management prevents signal overlap
- Neural network attempts to reduces false signals in choppy markets
Day Trading
- Multi-timeframe compatible with adaptation settings
- Clear trend visualization with Linear Regression candles
- Support/resistance integration for better entries/exits
Signal Filtering
- Use A+/A grades for highest probability setups
- B grades for confirmation in trending markets
- C-F grades help identify market uncertainty
Why Choose Trend Architect Lite?
No Lag - Real-time neural network processing
No Repainting - Signals appear and stay fixed
Clean Charts - Focus on price action, not indicators
Smart Filtering - AI reduces noise and false signals
Flexible and customizable - Works across all timeframes and instruments
Compatibility
- All Timeframes - 1m to Monthly charts
- All Instruments - Forex, Crypto, Stocks, Futures, Indices
Risk Disclaimer
This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Simple Trend Indicator (Heikin-Ashi) | Lyro RSSimple Trend Indicator (Heikin-Ashi)
A momentum oscillator using Heikin-Ashi smoothed data to filter trend direction with zero-line crosses.
This indicator calculates the normalized deviation of Heikin-Ashi OHLC values from their Simple Moving Average (SMA), then averages these deviations into a single oscillator. It simplifies trend detection by:
Reducing noise via Heikin-Ashi smoothing.
Highlighting momentum shifts through a zero-line cross system (bullish/bearish).
Providing clear visual signals with color-coded plots and directional dots.
Originality:
Unlike standard momentum oscillators, this tool uniquely combines:
Heikin-Ashi normalization for cleaner trend analysis.
Multi-component averaging (high, open, low, close) to balance sensitivity.
Minimalist design for clutter-free charting.
How It Works:
Data Input: Fetches Heikin-Ashi OHLC values using request.security().
Momentum Calculation: For each Heikin-Ashi component:
Computes % deviation from its SMA: (value − SMA(value, length)) / SMA(value, length) * 100.
Oscillator: Averages deviations of all four components into one line (sum).
Signals:
Bullish: Oscillator > 0 (green).
Bearish: Oscillator < 0 (red).
Cross Confirmation: Dots (⦿) mark zero-line crosses.
Usage:
Trend Following: Enter long/short on sustained oscillator breaks above/below zero.
Reversal Watch: Zero-line crosses may hint at weakening momentum.
Filter: Combine with volume or support/resistance levels.
⚠️Disclaimer: This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
15-Minute, Lowest Close, and Daily Resistance LinesOverviewPurpose: The indicator plots three types of resistance lines:15-Minute Resistance: A solid red line drawn at the closing price of every 15-minute interval (e.g., 9:15, 9:30, 9:45, etc.).
Lowest Close Resistance: A dashed blue line drawn at the lowest closing price within each 15-minute interval.
Daily Resistance: A solid yellow line drawn at the opening price of the trading session (9:15 AM) and extended throughout the trading day (until 3:30 PM).
Author: © sujeetjeet1705
Features: line extension for 15-minute resistance lines.
Dynamic calculation of daily resistance line extension based on the chart's timeframe.
Lines are updated and extended dynamically during the trading session.
Invisible plots for resistance levels are included for visibility in the data window.
ALFA SNR-(FVG)The purpose of this indicator is to display border regions and FVGs together, so that it can be an alternative auxiliary code for those who trade borders, those who look at FVGs and those who follow liquidity.
Nebuchadnezzar BY ALP_GThis indicator attempts to identify classic supply and demand zones by examining the way candles move prices. However, it cannot distinguish between valid supply and demand zones and invalid supply and demand zones.
AymaN Entry Signal – With HTF + Pin Bar + Multi TP + BE + V1Ayman Entry Signal – Indicator Description
Overview
Ayman Entry Signal – With HTF + Pin Bar + Multi TP + BE + Stats Panel (V1)
This is a professional-grade Pine Script indicator designed for scalping and intraday trading, with full trade management, multi-confirmation logic, and advanced visualization. The tool is ideal for traders focused on XAUUSD (Gold), Forex, and other volatile instruments who seek both precision entries and structured exits with dynamic risk control.
Main Features
Advanced Entry Logic:
- EMA fast/slow crossovers (configurable)
- Optional conditions: Break of Structure (BoS), Order Block (OB), Fair Value Gap (FVG), Liquidity sweeps, Pin Bars
- HTF confirmation using EMA or BoS
- Real-time entry condition display
Trade Management:
- Dynamic calculation of Entry, SL (with ATR buffer), TP1, TP2
- Supports Partial Close and Break Even logic after TP1
- Visual PnL label (dynamic and color-coded)
Statistics Panel:
- Shows total trades, win/loss/breakeven count, cumulative PnL
- Filter by custom date or session
- Fully customizable panel appearance
Trade Visualization:
- Trade box includes all trade levels (Entry, SL, TP1, TP2)
- Visual display of trade conditions and PnL result
- Option to keep previous trades on chart
Alert System:
- Alerts for Buy and Sell entries
- Compatible with webhook automation systems like MT5/MT4
Customization & Inputs
- Capital & risk per trade
- Value per pip/point
- SL buffer (ATR-based)
- Manual EMA override
- Enable/disable: EMA, BoS, OB, FVG, Liquidity, Pin Bars
- HTF: timeframe + confirmation logic
- Trade box/labels visibility
- Full color customization
- PnL label position: top, center, or bottom
Recommended Use
- Ideal for Gold scalping (XAUUSD), also effective for Forex
- Best on 1m–15m charts; use HTF confirmation from 15m–4H
- Pairs well with semi-automated systems using alerts and webhooks
Disclaimer
Note: This is a non-executing indicator. It does not place trades but provides visual and statistical guidance for professional manual or semi-automated trading.
Leola Lens Footprint📌 Leola Lens Footprint — Market Memory Overlay (Invite-Only)
This invite-only script is built to visualize market memory by identifying historically reactive zones — where price previously encountered resistance, support, or decision-making friction.
Unlike predictive models or indicator-driven systems, Footprint focuses only on price behavior that has already occurred, using confirmed reaction clusters to highlight likely areas of future influence.
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🔍 What It Does
• Detects zones where price has reacted multiple times, showing clear rejection, breakout, or consolidation behavior
• Plots these levels only after market confirmation — no projections or lagging indicators
• Designed for clean structural reading across all timeframes and asset classes (crypto, stocks, forex, commodities)
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🟡 Visual Elements
• 🟣 Purple Zones → High-impact memory zones with consistent historical rejection
• 🟤 Brown Zones → Fresh rejection clusters (recent demand/supply zones)
• 🟡 Yellow Line → Psychological pivot zone/Key decision points formed from repeated reactions.
• 🩷 Pink Lines → Pullback or reversal zones (support/resistance traps)
• Adaptive zone shading and slope-based logic enhances readability
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📊 Best Suited For:
• Price-action traders who focus on confirmed historical behavior, not speculative levels
• Scalpers and swing traders looking to trade retests and rejection entries
• Discretionary traders wanting a stable visual map of structure without noise
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🔧 Originality & Logic
This script uses original rule-based logic to cluster and validate levels only after real-world confirmation.
It does not use RSI, MACD, MAs, volume, or any traditional indicator input.
Instead, it tracks zone memory based on how price respects or invalidates key levels over time — making it adaptive to both trending and ranging environments.
There is no repainting or forward projection — all levels appear only after market structure confirms relevance.
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⚠️ Disclaimer
This tool is for educational and informational purposes only. It does not constitute trading advice or a financial recommendation. Always validate visual overlays with your own risk framework and backtesting before live use.
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Multi-Timeframe Confluence Indicator - 4 Timeframes, No Guessing🎯 Multi-Timeframe Confluence Indicator (FREE)
Stop Trading Blind - See All Timeframes at Once!
Why do 87% of traders fail? They trade against the bigger trend. This indicator changes that.
✨ What You Get:
- 4 Timeframe Analysis (Current/15m/1H/4H) in ONE view
- Smart Confluence Zones - Know exactly where to trade
- Non-Repainting Signals - What you see stays
- Live Confluence Table - All timeframes at a glance
- Professional Alerts - Never miss high-probability setups
📊 How It Works:
1. TREND: 50/200 EMA across timeframes
2. MOMENTUM: RSI confirmation
3. SCORE: -8 to +8 confluence rating
Strong signals only appear when MULTIPLE timeframes agree!
🎯 Signal Types:
- 💚 STRONG BUY (Score 6+)
- 🟢 BUY (Score 3-5)
- 🔴 SELL (Score -3 to -5)
- ❤️ STRONG SELL (Score -6 or less)
⚡ Perfect For:
- Beginners (simple, visual)
- Scalpers (avoid counter-trend trades)
- Swing traders (catch big moves)
- All markets (Crypto/Forex/Stocks)
🎁 100% FREE - No Hidden Fees!
Professional-grade tool. No strings attached.
Add now and trade with the confidence of seeing the complete market picture!
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Works on: BTC, ETH, ES, NQ, Major FX Pairs
Best results on liquid instruments
⬇️ FOLLOW for more free indicators!
Zero Lag Moving AverageThis indicator is a trend detection tool that highlights significant momentum shifts with reduced lag. It uses two smoothed moving averages—fast and medium ZLEMAs—optionally enhanced with a Kalman filter to reduce noise. The indicator defines a bullish trend when the price is above both ZLEMAs, and bearish when it is below both. Rather than signaling every crossover, it focuses on trend changes, triggering buy or sell signals only when the trend flips (e.g., from bearish to bullish) and confirms those shifts with two filters: rising volume (above the 20-bar average) and a strong trend based on the ADX indicator. Visual features include optional candle coloring to reflect trend direction and signal markers (triangles) plotted only during a user-defined trading session. This setup helps traders act only on confirmed, high-quality momentum shifts, reducing false positives in low-volume or ranging markets.
Leola Lens Pro📌 Leola Lens Pro — Expansion, Trap & Structure Map (Invite-Only)
This invite-only overlay is designed to give traders enhanced clarity around liquidity shifts, trap zones, and expansion/reversion mechanics — across all timeframes and market types.
Built as an evolution of Leola Lens Standard, the Pro version integrates a more refined structural engine to highlight real-time reaction zones with greater context sensitivity.
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🔍 What It Displays
• Dynamic support/resistance zones that evolve with price
• Expansion & reversion levels — visualize where moves may exhaust or reverse
• Liquidity sweep detection to catch trap-based market setups
• Cluster zones that signal areas prone to breakouts or failed entries
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🟡 Visual Markers
• 🟡 Yellow Line → Psychological pivot zone
• 🩷 Pink Lines → Pullback or reversal zones (support/resistance traps)
• Adaptive zone shading and slope-based logic enhances readability
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📊 Best Suited For:
• Traders identifying value breaks, imbalance zones, or liquidity voids
• Scalpers catching early trap setups before momentum expands
• Swing traders aiming to enter mean reversion trades post-expansion
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🔧 Technical Approach & Originality
Leola Lens Pro is powered by original proprietary logic — it does not rely on public Pine scripts, built-in indicators, or volume-based techniques.
• No use of RSI, MACD, MAs, Bollinger Bands, or volatility indicators
• Not a predictive tool — it responds to confirmed structure, slope, and price reaction
• Designed for clarity in both trending and ranging conditions
• Visual performance optimized for 15-minute charts but remains timeframe-agnostic
This implementation provides a novel overlay experience focused on structural adaptability and trap awareness, not traditional indicator signals.
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⚠️ Disclaimer
This script is provided for educational and analytical purposes only. It does not constitute financial advice or trade recommendations. Always validate tools through personal testing and risk frameworks.
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SMC TimingThis indicator (“SMC Timing”) visually marks the exact moments when the market typically experiences large liquidity injections—moments that often trigger strong directional moves. By plotting dashed vertical lines and labels at key session boundaries and news events (Frankfurt open, London open, EU mid-session pause, Pre-US, US open, 14:30 U.S. news releases, 15:00 breakout window, and the London close), it draws your attention to the times when stop-runs and institutional orders tend to pile into the market.
Traders can use these timing zones to:
Anticipate liquidity sweeps where smart-money often liquidates weak positions or hunts stops.
Plan higher-probability entries just before or directly after these injections, reducing slippage and improving execution.
Improve win-rate consistency by aligning your trades with the natural ebb and flow of institutional flow rather than fading it.
With customizable session toggles, a “today-only” filter, and a small vertical offset to keep markers clear of price bars, this tool seamlessly integrates into any chart. Positioning yourself around these highlighted times helps you capture the bulk of intraday moves and avoids getting caught in low-liquidity chop.
BERLIN-MAX 1V.5BERLIN-MAX 1V.5 is a comprehensive trading indicator designed for TradingView that combines multiple advanced strategies and tools. It integrates EMA crossover signals, UT Bot logic with ATR-based trailing stops, customizable stop-loss and target multipliers per timeframe, Hull Moving Averages with color-coded trends, linear regression channels for support and resistance, and a multi-timeframe RSI and volume signal table. This script aims to provide clear entry and exit signals for scalping and swing trading, enhancing decision-making across different market conditions.
ADR FocusADR Focus Indicator - Documentation
Overview
ADR Focus is a comprehensive trading indicator designed for intraday traders who use Average Daily Range (ADR) strategies. It provides a visual dashboard that tracks daily price movements against ADR-based targets, helping traders identify potential entry and exit points based on statistical price ranges.
Key Features
1. ADR-Based Price Levels
The indicator calculates and displays multiple price levels based on the Average Daily Range:
Daily Open Line: The opening price of each trading day
Previous Daily Midpoint: The midpoint between the previous day's open and close
High Risk Levels (1.5x ADR): Closer targets with higher probability of being hit
Low Risk Levels (2.0x ADR): Further targets with lower probability but better risk/reward
2. Dynamic Color-Coded Lines
Lines are automatically colored based on the day's trend direction:
Bullish Days (Heikin Ashi close > open):
Upper lines = Take Profit targets (green shades)
Lower lines = Stop Loss levels (red shades)
Bearish Days (Heikin Ashi close < open):
Lower lines = Take Profit targets (green shades)
Upper lines = Stop Loss levels (red shades)
3. Interactive Dashboard Table
A comprehensive table displaying:
Daily Status Section: Current day's open price and whether TP/SL levels have been hit
Daily Breakdown: Historical performance for multiple days showing:
Date and day of week
Trend direction (Bull/Bear)
ADR hit status with multi-day tracking
Optional: Distance between open and previous daily midpoint (%)
Summary Row: Win rate calculation and total TP/SL hits
4. Multi-Day Hit Detection
The indicator tracks when ADR levels are hit across multiple days, showing:
Which level was hit (TP 1.5x, TP 2.0x, SL 1.5x, or SL 2.0x)
How many days it took to hit the level (D+1, D+2, etc.)
Customizable Settings
ADR Settings
ADR Length: Number of days used to calculate the average daily range (default: 21)
High Risk Multiplier: Multiplier for closer targets (default: 1.5x)
Low Risk Multiplier: Multiplier for further targets (default: 2.0x)
Max Days: Number of days to display in the dashboard (default: 5)
Line Display Settings
Toggle visibility for each line type (Open, Mid, High Risk, Low Risk)
Customize colors for all line types
Adjust line width and style (Solid, Dashed, Dotted)
Table Display Settings
Position: Choose from 9 positions on the chart
Text Size: Adjust from tiny to huge
Local Timezone: Set your timezone for accurate daily calculations
How It Works
ADR Calculation: The indicator calculates the average range (high - low) over the specified period
Level Generation: Based on the daily open, it creates symmetrical levels above and below using ADR multipliers
Trend Detection: Uses Heikin Ashi candles to determine the day's bias (bullish/bearish)
Performance Tracking: Monitors whether price hits the calculated levels, both intraday and across multiple days
Win Rate Analysis: Calculates the percentage of successful TP hits versus SL hits
Use Cases
For Day Traders
Identify potential reversal points based on statistical price extremes
Set profit targets and stop losses based on historical volatility
Track performance of ADR-based strategies over time
For Swing Traders
Monitor multi-day level hits to understand market momentum
Use the dashboard to identify when markets are overextended
Analyze win rates to optimize entry timing
For Strategy Development
Backtest ADR-based approaches with visual confirmation
Adjust multipliers to find optimal risk/reward ratios
Study the relationship between daily opens and previous midpoints
Visual Indicators
Red-highlighted rows: Days where stop loss was hit
Green trend cells: Bullish days
Red trend cells: Bearish days
"Today" label: Clearly identifies the current trading day
Best Practices
Combine with other indicators: ADR levels work best when confirmed by other technical analysis tools
Monitor win rates: Adjust your approach if win rates drop below acceptable levels
Consider market conditions: ADR strategies may perform differently in trending vs. ranging markets
Use appropriate timeframes: This indicator is optimized for daily analysis of intraday movements
EWO + MACD Divergence + Cross SignalsEWO + MACD Divergence + Cross Signals EWO + MACD Divergence + Cross Signals EWO + MACD Divergence + Cross Signals
Buy Sell Sniper Entry Background (based on EP Script by RedK)
Is this one of the most precise Buy Sell Indicators?
Only you can tell!
Based on the EP script by RedK EVEREX this indicator will color your background directly in your chart. Clean, easy, simple.
I did not alter any of their logic, nothing.
Looking for an even more precise entry option?
How about combining it with my first Background Indicator based on Williams Alligator.
The Candle coloring is based on this TUE ADX script
Happy Sniper Trading!
EWO Buy Sell Signal with ReversalEWO Buy Sell Signal with Reversal EWO Buy Sell Signal with Reversal EWO Buy Sell Signal with Reversal EWO Buy Sell Signal with Reversal
Time-Price Velocity [QuantAlgo]🟢 Overview
The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions.
This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula:
velocity = priceChange / timeWeight
The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings:
normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0
where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period.
The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time:
acceleration = normalizedVelocity - normalizedVelocity
Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness:
signal = ta.ema(normalizedVelocity, smooth)
This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing.
🟢 How to Use
1. Signal Interpretation and Threshold Zones
Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline
Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline
Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts
Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point
Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point
2. Acceleration Analysis and Visual Features
Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum
Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces
Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation
Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators
3. Additional Features:
Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates
Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities
Alert System: Built-in alerts for threshold crossovers and direction changes
🟢 Examples with Preconfigured Settings
Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis.
Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities.
Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
ALFA CAM BANDIt is a band system created with FIBO coefficients and its usage is similar to the BB bandIt can be used to monitor trend reversals or price overshoots. There are also moving averages within the code that can be helpful.
Adaptive Market Profile – Auto Detect & Dynamic Activity ZonesAdaptive Market Profile is an advanced indicator that automatically detects and displays the most relevant trend channel and market profile for any asset and timeframe. Unlike standard regression channel tools, this script uses a fully adaptive approach to identify the optimal period, providing you with the channel that best fits the current market dynamics. The calculation is based on maximizing the statistical significance of the trend using Pearson’s R coefficient, ensuring that the most relevant trend is always selected.
Within the selected channel, the indicator generates a dynamic market profile, breaking the price range into configurable zones and displaying the most active areas based on volume or the number of touches. This allows you to instantly identify high-activity price levels and potential support/resistance zones. The “most active lines” are plotted in real-time and always stay parallel to the channel, dynamically adapting to market structure.
Key features:
- Automatic detection of the optimal regression period: The script scans a wide range of lengths and selects the channel that statistically represents the strongest trend.
- Dynamic market profile: Visualizes the distribution of volume or price touches inside the trend channel, with customizable section count.
- Most active zones: Highlights the most traded or touched price levels as dynamic, parallel lines for precise support/resistance reading.
- Manual override: Optionally, users can select their own channel period for full control.
- Supports both linear and logarithmic charts: Simple toggle to match your chart scaling.
Use cases:
- Trend following and channel trading strategies.
- Quick identification of dynamic support/resistance and liquidity zones.
- Objective selection of the most statistically significant trend channel, without manual guesswork.
- Suitable for all assets and timeframes (crypto, stocks, forex, futures).
Originality:
This script goes beyond basic regression channels by integrating dynamic profile analysis and fully adaptive period detection, offering a comprehensive tool for modern technical analysts. The combination of trend detection, market profile, and activity zone mapping is unique and not available in TradingView built-ins.
Instructions:
Add Adaptive Market Profile to your chart. By default, the script automatically detects the optimal channel period and displays the corresponding regression channel with dynamic profile and activity zones. If you prefer manual control, disable “Auto trend channel period” and set your preferred period. Adjust profile settings as needed for your asset and timeframe.
For questions, suggestions, or further customization, contact Julien Eche (@Julien_Eche) directly on TradingView.
Chaos Theory : Expansion Analysis Uncovering Probable Price PathWhat is Chaos Theory?
Chaos theory is the study of complex systems that appear random but actually follow deterministic mathematical laws. Discovered by meteorologist Edward Lorenz in the 1960s, it revealed that seemingly chaotic behavior often hides precise mathematical patterns.
Key Concepts:
The Butterfly Effect
The famous principle that tiny changes in initial conditions can lead to vastly different outcomes. In markets, this means a small price movement at a critical juncture can cascade into major trend changes. Named after Lorenz's discovery that a butterfly flapping its wings in Brazil could theoretically cause a tornado in Texas.
Sensitive Dependence on Initial Conditions
Chaotic systems are extremely sensitive to their starting state. While we cannot predict exact long-term outcomes, we can identify probability zones where the system is likely to evolve. This is why weather forecasts work for days, not months - and why our indicator predicts price destinations, not timing.
Strange Attractors
In chaos theory, systems tend to evolve toward certain states called attractors. Price doesn't move randomly - it's drawn toward these mathematical attractors that we identify as probability zones.
Fractals and Self-Similarity
Chaotic systems display similar patterns at different scales. This is why price charts look similar whether viewing 1-minute or daily timeframes - the same mathematical forces operate across all time scales.
Deterministic Chaos
The paradox at the heart of chaos theory: systems that are completely deterministic (following precise mathematical rules) can produce behavior that appears random. Markets aren't random - they're chaotic, which means they're predictable within probability bounds.
Why This Matters for Trading
Traditional technical analysis assumes markets are either random (efficient market hypothesis) or follow simple patterns (support/resistance). Chaos theory reveals a third truth: markets are complex dynamical systems that follow mathematical laws we can model and predict - not with certainty, but with probability.
This is the foundation of our indicator: applying the same mathematics that predicts weather patterns and planetary orbits to identify where price is mathematically likely to travel next.
🌟 Welcome to the World of Chaos Theory
We hope to provide our clients with a program that will define future points to which we believe price will expand to, based on a given probability % of one event occurring rather than another. In this case, the other event = price not expanding to our predicted area and reaching an invalidation state. This entire theory and the work done assumes that price behaves like a complex dynamical system that is highly sensitive to initial conditions.
🔮 Predictive vs. Reactive Systems
Pay special attention to the language used. Our belief is that we can provide you a tool that is predictive, not reactive - the latter of which falls into the class of descriptive systems. Although the term of price action study is referred to as time-series forecasting, most if not all of the works done under this umbrella do not forecast anything. They only describe the current or recent past state of affairs using averages, volume, volatility, and other concepts.
📊 Understanding Probability-Based Prediction
A predictive system conjured from the world of chaos theory is not a final solution to the mystery of price. In reality, we only can give you probabilities of where price may end up - this would be a point in space, not time, which we believe would be more likely than another, depending on the analysis of the initial conditions.
To make the point of the last paragraph crystal clear: while we can tell you, with respect to the probabilities, where price will end up in terms of a price point, we don't know WHEN. That is another part of the mystery that perhaps only clairvoyance can hope to uncover.
📈 Performance Statistics
For the question of what the probabilities are, meaning the success of the follow through of price, the answer is given in a stats panel, which measures the success of promises made by the indicator - that price would reach a certain point before being invalidated by moving too far in the opposing direction. It's not helpful to advertise or make false claims, therefore one should take advantage that we offer a free version, and using a pre-defined lookback window, confirm the probability calculations and determine the follow through rate with respect to the specific symbol and timeframe that the user decides to use.
⚠️ What This Is Not
What this is not → Descriptive. We have zero interest in describing what price is doing. In fact, the entire industry of price forecasting is dedicated to this task, therefore you can rest assured that any coincidence with an RSI or any type of moving average etc. is simply that - coincidence. We do not use any known pre-made indicators or formulas.
It has been our belief that price has an underlying mathematical pattern that can be predicted within probability bounds. If you read that carefully, we are predicting the pattern, not looking to find and describe some sort of underlying structure.
🧩 Understanding Market Complexity
It should be understood that price is a complex system, even if our initial assessment of the conditions are correct. We have to remember that price is a fractal structure - there are always different initial conditions clashing, as well as forming. This is without taking into account the manipulation of the system, as well as external intervention in the natural progression of the system by news or other significant events.
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📋 To Summarize:
🔬 1. Chaos Theory Application to Markets
- Novel Concept: Treating price as a chaotic particle rather than random movement
- What This Means: Chaotic systems have underlying mathematical patterns that can be predicted within probability bounds
- Your Benefit: Access to predictive mathematics previously used only in physics and meteorology
🧮 2. Complex Systems Mathematics
- Novel Concept: Applying non-linear dynamical systems theory to financial markets
- What This Means: Markets behave like complex adaptive systems with emergent properties
- Your Benefit: Understanding market behavior at a fundamental mathematical level
🎯 3. Probability Field Mapping
- Novel Concept: Creating mathematical probability fields for future price locations
- What This Means: Each zone represents a calculated probability destination, not arbitrary support/resistance
- Your Benefit: Trade toward mathematically-derived targets instead of guessing
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💡 Why This is Fundamentally Different from All Other Indicators
📉 Traditional Indicators:
- Use historical price data to create lagging signals
- Based on statistical averages and linear mathematics
- Assume markets are random or follow simple patterns
- React to what already happened
🚀 This Chaos Theory Approach:
- Uses mathematical modeling to predict future probability zones
- Based on non-linear complex systems mathematics
- Treats markets as chaotic but predictable systems
- Proactively identifies where price is likely to go
No Curve Fitting: Unlike indicators optimized for specific timeframes or instruments, chaos theory principles are universal mathematical laws that apply consistently across all markets.
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🎁 Concrete Benefits You Receive
💫 1. Predictive Intelligence
- Know probable price destinations before they're reached
- Eliminate guesswork in setting profit targets
- Make informed decisions about trade direction
🎯 2. Mathematical Precision
- Every zone placement has mathematical justification
- No subjective interpretation required
- Consistent application across all market conditions
🌍 3. Universal Market Application
- Works identically on forex, stocks, crypto, commodities
- No need to adjust parameters for different instruments
- Mathematical principles transcend market types
🏆 4. Professional-Grade Analysis
- Access to institutional-level mathematical modeling
- Same complexity as quantitative hedge fund systems
- Simplified visual output for practical trading
✅ 5. Real-Time Performance Validation
- Built-in statistics track actual prediction accuracy
- Transparent performance measurement
- Data-driven confidence in signal quality
🛡️ 6. Risk Management Precision
- Mathematically-defined probable targets of desired and undesired price locations
- Systematic approach eliminates emotional decisions
⏱️ 7. Multi-Timeframe Consistency
- Zones maintain mathematical validity across timeframes
- Higher timeframe bias with lower timeframe precision
- Coherent analysis from scalping to position trading
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🌟 Novel Trading Advantages
Probability-Based Targeting: Instead of hoping price reaches your target, you're trading toward mathematically-calculated probability zones.
Chaos Pattern Recognition: Probability-based predictions of the underlying chaotic patterns that govern price movement gives you an edge other traders don't possess.
Dynamic Adaptation: Unlike static indicators, this system continuously recalculates based on evolving market mathematics.
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🔄 Why This Represents a Trading Evolution
From Reactive to Predictive: Traditional analysis tells you what happened. Chaos theory mathematics tells you what's likely to happen.
From Subjective to Objective: No more debating support and resistance levels. Mathematics determines probable price destinations.
From Curve-Fitted to Universal: Based on fundamental mathematical principles that work consistently across all markets and timeframes.
From Emotional to Systematic: Clear mathematical signals eliminate the psychological challenges that destroy most traders.
This indicator doesn't just give you another way to analyze markets - it gives you access to an entirely different mathematical framework for understanding price behavior. You're not getting a variation of existing concepts; you're getting a completely novel approach based on advanced mathematical principles that treat markets as the complex systems they actually are.
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📚 How to Use the Indicator
🎨 Zone Mechanics
• Orange Zones: Target areas for price expansion
• Activation Trigger: Price must close outside any zone (full candle body, not just wicks)
• Primary Rule: Price travels to the next zone before closing back behind the originating zone border
🔴 Understanding the Red Dots
• Red dots on chart: Represent areas where we had valid zone sets available for trading
• Empty spaces indicate: Areas where price closed past the highest/lowest zone or where zone invalidation occurred
• Important note: We cannot always identify zones. Simply wait or switch timeframe/symbol
UDI Directional Lines 5/20emaThis indicator indicates the use of ema lines to determine the change of directions where:
- 5ema black line indicates small trend shift
- 20ema red line indicates big trend shift
On top of it the circles below the chart shows the momentum to execute where
- green indicates bull trend and cycle
- red indicates red trend and cycle
With the combination of direction and momentum there will be more accuracy in tracking the trend movement of a particular asset
TZtraderTZtrader
This is a TrendZones version with features to set stoploss and targets in short and long positions meant for use in intraday charts. It aims to provide signals for opening and closing long and short positions. In the comments under the TrendZones publication several people expressed a need for features for a short position similar to those for a long position as implemented in TrendZones, some want to use it for scalping, some asked for alerts. When I proposed to create a version for day trading with target lines based on ATR, several people liked the idea.
Full disclosure: I don’t do day trading, because, after I lost a lot of money, I had to promise my wife to stay away from it. I restrict myself to long term investing in stocks which are in uptrend. However I understand what a day trader needs. I gather from my experience that day trading or scalping is an attempt to earn something by opening a position in the morning and close, reopen and close it again during the day with a profit. It is usually done with leveraged instruments like CFD’s, futures, options, and what have you. Opening and closing positions is done within minutes, so the trader needs a quick and efficient way to set proper stoploss and target. TZtrader supports this by showing only three or four numbers on the price bar: The price of the instrument, The logical stop level (gray or green or maroon dots), and the target level (navy). All other numbers are suppressed to prevent mistakes. Also a clear feedback for current settings at the top-center of the pane and an alert feedback at bottom that flashes alerts during the development of the current bar and gives suppression status.
The script
First I made a bare bones version of TrendZones to which I added code for long and short trading setups and a bare setup for no position. The code for the logical stops in long setup had to be reviewed, after which this became the basis for stops in short setup.
Then I added code for 10 alert messages, which was a hassle, because this is the first time I coded alerts and the first time I used an array as a stack to avoid a complicated if-then construction. During testing the array caused a runtime error which I solved by adding ‘array.clear’ to the code, also I discovered that in TradingView separate alerts have to be created for all three setups - short, long and bare. Flipping setups is done in the inputs with a dropdown menu because Pine Script has no function for a clickable button.
One visual with three setups.
The visual has the TrendZones structure: Three near parallel very smooth curves, which border the moderate uptrend (green) and downtrend (orange) zone over and under the curve in the middle, the COG (Center Of Gravity). Where the price breaks out of these curves, strong trend zones show up over and under the curves, respectively strong uptrend (blue) and strong downtrend (red).
Three setups were made clearly different to avoid confusion and to provide oversight in case of multiple trades going on simultaneously which I imagine are monitored in one screen. You have to see which one is long, which short and which have no position. The long setup should not trigger short signals, nor should the short trigger long signals nor the bare setup exclusive long or short signals.
The Long setup is default, shown on the example chart. In this setup the Stoploss suggestions (green, gray and maroon dots) are under the price bars and the target line (navy) at a set distance above the High Border. A zone with a width of 1 ATR is drawn under the Low Border. In this setup 5 specific alerts are provided
The Short setup has the Stoploss suggestions over the price bars, the target line at a set distance under the Low Border. A zone with a width of 1 ATR is drawn above the High Border. This setup also has 5 specific alerts.
The Bare setup has no Stoploss suggestions, no target line and supports 4 alerts, 2 in common with the Long setup and 2 with Short.
The table below gives a summary of scripted alerts:
Setup = Where = When = Purpose
Long, Bare = Green Zone = Bars come from lower zones = Uptrend starts
Long, Bare = Green Zone = Sideways ends in uptrend = Uptrend resumes
Long = COG = First crossing = Uptrend might end warning
Long = Orange Zone = Bars come from higher zones = Uptrend ended take care
Long = Red Zone = Bars come from higher zones = Strong downtrend->close Long
Short, Bare = Orange Zone = Bars come from higher zones = Downtrend starts
Short, Bare = Orange Zone = Sideways ends in downtrend = Downtrend resumes
Short = COG = First crossing = Downtrend might end warning
Short = Green Zone = Bars come from lower zones = Downtrend ended take care
Short = Blue Zone = Bars come from lower zones = Strong uptrend -> close short
You can use script alerts in TradingView by clicking the clock in the sidebar, then ‘create alert’ or plus, as condition you choose ‘Tztrader’ in the dialog box, then the “Any alert() function call” option (the first item in the list). The script lets the valid alert trigger by TradingView after the bar is completed, this can differ from the flashed messages during its formation.
When you create alerts in Tradingview, I advice to do that for each setup, then to make only the alert active which matches the current setup, pause the other ones.
Suppressing false and annoying signals
The script has two ways to suppress such signals, which have to do with the numbers in the alert feedback. The numbers left and right of the message with a colored background, depict the zones in which the previous (left) and current (right) bar move. 1 is the strong downtrend zone (red), 2 the moderate downtrend zone (orange), 3 the sideways zones (gray), 4 the COG (gray), 5 the moderate uptrend zone (green), 6 the strong uptrend zone (blue), 7 something went wrong with assigning a zone (black). In extensive testing the number 7 never occurs, because I catch that error in the code. The idea is that an alert is only triggered if the previous bar was in a different zone. When the bars are in the same zone, no alert is possible. This way all annoying signals are suppressed and long, short and bare get the appropriate alerts.
The third number is a counter. It counts how often the COG is crossed without touching the outer curves. The counter will reset to zero when the upper or lower curve is touched. When the count is 1 you have zone situation 4 and appropriate alerts are flashed. When the count is 2 or higher, a sideways situation (3) is called and while the recrossings are going on, no alerts can be flashed. This suppresses false signals. The ATR zone and curves are brownish-gray where sideways happens(ed). When the channel is narrowed down to just the three curves, some false signals still might occur.
Inputs
“Setup”, default is long, drop down menu provides long, short and bare.
“Target ATR”, default is 2, sets the amount of ATR for the target line. In 1 minute charts 4 seems an appropriate setting, you have to learn by experience which setting works.
“show feedback …” default is on, This creates two feedback labels, a Setup feedback on top of the pane, which shows charted instrument, Setup type, Trend and timeframe of the chart. Background color of Trend feedback is green when it matches the setup, red when mismatches and gray when no match. The alert feedback at the bottom of the pane shows a number, a message and two numbers. The numbers will be explained in the chapter about false and annoying signals below. During formation of the bar, valid alerts are flashed with a blue background, otherwise the message ‘alerts for current bar suppressed’.
Logical Stops
The curves are the logical place to put stops, because, as these are averages of the high and low border of a Donchian channel, they signify the ‘natural’ current highest, lowest and main level in the lookback period that fit the monitored trend setup. A downtrend turns into an uptrend when a breakout of the upper curve occurs. If you are short, that is where you want to close position, so the logical place for the stoploss is the upper curve. Vice versa, when you are long, the logical stop is on the lower curve. The stops show up as green or gray dots on the curves, the green dots signify a nice entry level, the gray stops are there to suggest levels where unrealized profits might be secured, the maroon dots indicate that the trend mismatches the setup.
COG versus other lines
Any line used to identify a trend, be it some MA or some other line, is interpreted the same way: When the bars move above the line there is an uptrend and when below, a downtrend. COG is not different in that sense. If you put such a line in the same chart as TZtrader, you can see situations in which the other line shows uptrend or downtrend earlier than COG, also some other lines, e.g. Hull MA, are very good at showing tops and bottoms, while COG ignores these. On the other hand the other lines are usually a little nervous and let you shake out of position too soon. Just like the other lines, COG gives false signals when it is near horizontal. The advantage of the placement COG is the tolerance for pull backs. This way TZtrader keeps you longer in the trend. Such pull backs are often ‘flags’ which are interpreted in TA as confirming the trend. Tztrader aims to get you in position reasonably soon when a trend begins and out of position as soon as the trend turns against you. The placement of COG is done with a fundamentally different algorithm than other lines as it is not an average of prices, but the middle of two averages of borders of a Donchian channel. This gives the two zones between the curves the same quality as the two zones above and below the middle line of a standard Donchian Channel.
A multi timeframe application.
In this scenario you put a 5 minutes and 1 minute chart with Tztrader side by side. If the 5 minutes shows uptrend, set the 1 minute on long trading and open positions when the trend matches uptrend en close when it mismatches. Don’t open short positions. Once the 5 minute changes to downtrend, set Tztrader in the 1 minute to short trading and open positions when the trend matches downtrend and close when it mismatches.
The idea is that in a long ‘context’, provided by the 5 minutes, the uptrends in the 1 minute will last longer and go further, vice versa for the short ‘context’. This way you do swing trading in the 5 minute in a smart way, maximizing profits.
You can do this with any timeframe pairs with a proportion of around 5:1, 4:1, 6:1, like e.g. 60 minutes and 15 minutes or weeks and days (5 trading days in a week).
Dear day-traders, may this tool be helpful and may your days be blessed.
Take care
