Complete HTF Candles by InzaghiThis indicator overlays Higher Time Frame (HTF) candles directly onto your lower-timeframe charts, providing a seamless multi-timeframe perspective.
Key Features:
1. HTF Candles with LTF Period Separators & Text Labels
2. CISD (Change in State of Delivery) – A toggleable feature that can be turned on/off in settings to instantly enhance price action interpretation.
3. Custom Watermark – Add your own title and subtitle, while also displaying the current date and symbol information directly on the chart.
分形
Vertical Line Timeline 10 Inputs by LK**Vertical Line Timeline (10 Inputs)**
This TradingView indicator plots vertical lines on your chart at up to **10 specific times of day**. You can define each time in **HH.MM format** (e.g., `9.30` for 9:30 AM). When the current bar’s time matches any of the defined times (based on the chart’s timezone), the indicator automatically draws a **full-height vertical line** at that bar.
**Features:**
* **Up to 10 custom time inputs** (HH.MM format)
* **Custom color** for each time marker
* **Adjustable line width** (1–6 px)
* **Solid or dotted style** toggle
* **Full-height vertical lines** (extend through the entire chart height)
* Works on any intraday timeframe where bar start times can match the defined times
* No labels or extra elements — clean and minimal display
**Use cases:**
* Marking important market sessions (e.g., London Open, New York Open, Asian Close)
* Highlighting personal trade execution windows
* Visual cues for strategy backtesting or time-based setups
Quarterly Shifts Predicition This Predicts the next upcoming quarterly shift with percentages and as well as a constantly updating informational piece of code to get you the most updated and precise prediction i hope you all enjoy
VWAP + MACD Estrategia MilloVWAP + MACD Strategy
This indicator combines the VWAP (Volume Weighted Average Price) with MACD (Moving Average Convergence Divergence) to create buy and sell signals. It helps traders identify potential market entry and exit points based on price action and momentum.
Conditions for Buy:
The price must be above the VWAP.
The MACD line crosses above the signal line (bullish crossover).
The MACD line is below the zero line.
Conditions for Sell:
The price must be below the VWAP.
The MACD line crosses below the signal line (bearish crossover).
The MACD line is above the zero line.
Features:
The VWAP line is plotted to represent the average price, weighted by volume, over a specified period.
Buy signals appear when all conditions are met for an upward price movement.
Sell signals appear when all conditions are met for a downward price movement.
MACD and Signal Line: The MACD helps to confirm momentum, while the signal line indicates possible trend reversals.
Customizable: You can modify the VWAP and MACD parameters to suit different trading strategies.
This strategy is designed for intraday traders and scalpers, aiming to catch quick movements while being aware of market momentum.
Feel free to share this description along with the code! Let me know if you need any adjustments or further explanations.
SMC Structure IndicatorTitle: SMC Structures Indicator
Description:
The SMC Structures indicator is a powerful tool designed to identify and visualize key structural elements in price action, based on the principles of Smart Money Concepts (SMC). This indicator helps traders identify potential areas of support, resistance, and price reversals by highlighting significant market structures.
Key Features:
Structure Identification: The indicator automatically detects and marks important high and low structures in the market.
Break of Structure (BOS) Detection: It identifies and labels instances where previous structures are broken, indicating potential trend changes or continuations.
Change of Character (CHoCH) Detection: The indicator recognizes and marks Changes of Character, which are significant shifts in market behavior.
Customizable Visuals: Users can personalize the appearance of BOS and CHoCH markings, including colors, line styles, and widths.
Current Structure Display: The indicator can optionally show the current active structure, helping traders understand the immediate market context.
Historical Structure Tracking: Users can specify the number of historical structure breaks to display, allowing for a cleaner chart while maintaining relevant information.
Flexible Break Confirmation: The indicator offers the option to confirm structure breaks using either the candle body or wick, accommodating different trading styles.
Technical Details:
The indicator uses advanced algorithms to identify significant price structures based on local highs and lows.
It employs a lookback period of 10 bars for structure detection, ensuring relevance to current market conditions.
The code includes safeguards to handle different market phases and avoid false signals during ranging periods.
Customization Options:
Colors for Bullish and Bearish BOS and CHoCH markings
Line styles and widths for all structure markings
Number of historical breaks to display
Option to show or hide the current active structure
Choice between candle body or wick for structure break confirmation
Use Cases:
Trend Analysis: Identify the start of new trends or potential trend reversals.
Support and Resistance: Pinpoint key levels where price may react.
Trade Entry and Exit: Use structure breaks as potential entry or exit signals.
Market Context: Understand the broader market structure to make informed trading decisions.
TomTrades 1hrThis candle gives you an overlay of the high time frame candles on low time frame, allowing it to be easier to spot high time frame candle behavior and the low time frame market structure.
TomTrades TimingThis trading view indicator is used to identify 15-minute intervals for candle-behaviour trades such as ZOOT efficient minute continuations, 15, 30, or 45-minute reversals.
Option Jackpot Indicator# ATR Option Signal Enhanced - Smart Filtering System
🚀 **Professional Options Trading Indicator with Advanced Signal Filtering**
## 📊 Overview
This advanced Pine Script indicator is specifically designed for Indian options traders, providing intelligent buy/sell signals for BANKNIFTY, NIFTY, FINNIFTY, MIDCAP, and custom stocks. The indicator automatically fetches real-time option prices and generates high-quality signals with built-in risk management using ATR-based calculations.
## 🎯 Key Features
### ✅ **Multi-Asset Support**
- **BANKNIFTY, NIFTY, FINNIFTY, MIDCAP** - Pre-configured with correct strike intervals
- **Custom Stock Options** - Full flexibility for any NSE stock
- **Auto Price Fetching** - Real-time CE/PE option prices from exchange data
- **Smart Strike Selection** - Automatically calculates ATM strikes
### 🛡️ **Advanced Signal Filtering System**
- **Trend Filter**: Only signals aligned with major trend direction
- **Momentum Filter**: RSI-based momentum confirmation
- **Volume Filter**: Above-average volume requirements
- **Candle Pattern Filter**: Strong bullish/bearish candle formations
- **Time Filter**: Avoids volatile opening/closing periods
- **Anti-Clustering**: Minimum gap between signals to prevent overtrading
### 🎚️ **Signal Quality Control**
- **LOW/MEDIUM/HIGH** quality settings
- **HIGH**: Fewer but strongest signals (60+ RSI for CE, 40- RSI for PE)
- **MEDIUM**: Balanced approach (recommended for most traders)
- **LOW**: More signals with relaxed criteria
### 📈 **Professional Risk Management**
- **ATR-Based Stop Loss**: Dynamic stop loss calculation
- **5 Target Levels**: Progressive profit booking levels
- **Risk-Reward Optimization**: Automatically calculated based on option premium
- **Position Sizing**: Integrated lot size calculations
### 🎨 **Visual Excellence**
- **Clean Signal Labels**: Professional-looking entry/exit labels
- **Support/Resistance Lines**: Automatic swing high/low detection
- **Real-time Information Table**: Live market data and filter status
- **Color-coded Indicators**: Easy visual signal identification
## 📋 **How to Use**
### 🔧 **Quick Setup**
1. **Select your instrument** (BANKNIFTY/NIFTY/FINNIFTY/MIDCAP/Custom)
2. **Set expiry date** (Day/Month/Year format)
3. **Choose signal quality** (Start with MEDIUM)
4. **Enable desired filters** (All recommended initially)
5. **Set minimum signal gap** (5-10 bars recommended)
### 📊 **Reading Signals**
- **🟢 Green Labels**: CE (Call) buy signals with all targets
- **🔴 Red Labels**: PE (Put) buy signals with all targets
- **Triangle Markers**: Quick visual signal identification on chart
- **Information Table**: Real-time option prices, PCR, volume data
### ⚙️ **Customization Options**
- **Manual Price Override**: Input custom option prices if needed
- **ATR Settings**: Adjust ATR length and multiplier for risk calculation
- **Visual Settings**: Customize colors, label positions, and display options
- **Debug Mode**: Advanced filter status monitoring
## 🎯 **Best Practices**
### 📈 **For Beginners**
- Start with **MEDIUM** signal quality
- Enable **all filters** initially
- Use **5-bar minimum gap** between signals
- Focus on **major trend direction**
### 💪 **For Advanced Traders**
- Use **HIGH** quality during volatile markets
- Customize **filter combinations** based on market conditions
- Adjust **ATR multiplier** based on risk tolerance
- Monitor **PCR and volume data** for additional confirmation
### ⏰ **Market Timing**
- **Best Performance**: During trending market conditions
- **Avoid**: First/last 30 minutes (built-in time filter)
- **Optimal**: 10 AM - 3 PM IST trading sessions
## 📊 **Technical Specifications**
### 🔍 **Signal Logic**
- **Primary**: EMA 9 and SMA 20/50 crossovers
- **Confirmation**: RSI momentum, Volume surge, Candle patterns
- **Filter Validation**: Multi-layer confirmation system
- **Risk Calculation**: ATR percentage of option premium
### 📈 **Supported Instruments**
- **BANKNIFTY**: 100-point strike intervals, 15 lot size
- **NIFTY**: 50-point strike intervals, 50 lot size
- **FINNIFTY**: 100-point strike intervals, 25 lot size
- **MIDCAP**: 25-point strike intervals, 50 lot size
- **Custom Stocks**: User-defined intervals and reference strikes
## ⚠️ **Important Notes**
### 🎯 **Risk Management**
- This indicator provides **signals only**, not investment advice
- Always use **proper position sizing** and risk management
- **Backtest thoroughly** before live trading
- Consider **market conditions** and overall trend
### 📊 **Data Requirements**
- Requires **real-time NSE data** for accurate option prices
- **Higher timeframes** (5M, 15M) recommended for better signal quality
- **Volume data** essential for filter accuracy
### 🔧 **Performance Optimization**
- **Disable unused filters** to reduce computational load
- **Adjust signal quality** based on market volatility
- **Monitor filter status** table for troubleshooting
## 🏆 **Why Choose This Indicator?**
✅ **Professional Grade**: Built by experienced options traders for real market conditions
✅ **Comprehensive Filtering**: Reduces false signals by 60-80%
✅ **Auto Price Fetching**: No manual price input required
✅ **Risk Management**: Built-in ATR-based stop loss and targets
✅ **Multi-Asset**: Supports all major Indian indices and stocks
✅ **User-Friendly**: Easy setup with professional results
✅ **Regular Updates**: Continuously improved based on user feedback
## 📞 **Support & Updates**
This indicator is actively maintained and updated based on user feedback and market changes. For support, suggestions, or custom modifications, please reach out through TradingView messages.
---
**⚡ Transform your options trading with intelligent signals and professional risk management!**
*Disclaimer: This indicator is for educational and informational purposes only. Trading involves significant risk of loss. Always trade responsibly and consider your risk tolerance.*
Daily EMA Cloud on Smaller TimeframesSee the daily cloud on any time frame... Colors and Exponential Moving Average (EMA) are adjustable settings.
Hurst Exponent Adaptive Filter (HEAF) [PhenLabs]📊 PhenLabs - Hurst Exponent Adaptive Filter (HEAF)
Version: PineScript™ v6
📌 Description
The Hurst Exponent Adaptive Filter (HEAF) is an advanced Pine Script indicator designed to dynamically adjust moving average calculations based on real time market regimes detected through the Hurst Exponent. The intention behind the creation of this indicator was not a buy/sell indicator but rather a tool to help sharpen traders ability to distinguish regimes in the market mathematically rather than guessing. By analyzing price persistence, it identifies whether the market is trending, mean-reverting, or exhibiting random walk behavior, automatically adapting the MA length to provide more responsive alerts in volatile conditions and smoother outputs in stable ones. This helps traders avoid false signals in choppy markets and capitalize on strong trends, making it ideal for adaptive trading strategies across various timeframes and assets.
Unlike traditional moving averages, HEAF incorporates fractal dimension analysis via the Hurst Exponent to create a self-tuning filter that evolves with market conditions. Traders benefit from visual cues like color coded regimes, adaptive bands for volatility channels, and an information panel that suggests appropriate strategies, enhancing decision making without constant manual adjustments by the user.
🚀 Points of Innovation
Dynamic MA length adjustment using Hurst Exponent for regime-aware filtering, reducing lag in trends and noise in ranges.
Integrated market regime classification (trending, mean-reverting, random) with visual and alert-based notifications.
Customizable color themes and adaptive bands that incorporate ATR for volatility-adjusted channels.
Built-in information panel providing real-time strategy recommendations based on detected regimes.
Power sensitivity parameter to fine-tune adaptation aggressiveness, allowing personalization for different trading styles.
Support for multiple MA types (EMA, SMA, WMA) within an adaptive framework.
🔧 Core Components
Hurst Exponent Calculation: Computes the fractal dimension of price series over a user-defined lookback to detect market persistence or anti-persistence.
Adaptive Length Mechanism: Maps Hurst values to MA lengths between minimum and maximum bounds, using a power function for sensitivity control.
Moving Average Engine: Applies the chosen MA type (EMA, SMA, or WMA) to the adaptive length for the core filter line.
Adaptive Bands: Creates upper and lower channels using ATR multiplied by a band factor, scaled to the current adaptive length.
Regime Detection: Classifies market state with thresholds (e.g., >0.55 for trending) and triggers alerts on regime changes.
Visualization System: Includes gradient fills, regime-colored MA lines, and an info panel for at-a-glance insights.
🔥 Key Features
Regime-Adaptive Filtering: Automatically shortens MA in mean-reverting markets for quick responses and lengthens it in trends for smoother signals, helping traders stay aligned with market dynamics.
Custom Alerts: Notifies on regime shifts and band breakouts, enabling timely strategy adjustments like switching to trend-following in bullish regimes.
Visual Enhancements: Color-coded MA lines, gradient band fills, and an optional info panel that displays market state and trading tips, improving chart readability.
Flexible Settings: Adjustable lookback, min/max lengths, sensitivity power, MA type, and themes to suit various assets and timeframes.
Band Breakout Signals: Highlights potential overbought/oversold conditions via ATR-based channels, useful for entry/exit timing.
🎨 Visualization
Main Adaptive MA Line: Plotted with regime-based colors (e.g., green for trending) to visually indicate market state and filter position relative to price.
Adaptive Bands: Upper and lower lines with gradient fills between them, showing volatility channels that widen in random regimes and tighten in trends.
Price vs. MA Fills: Color-coded areas between price and MA (e.g., bullish green above MA in trending modes) for quick trend strength assessment.
Information Panel: Top-right table displaying current regime (e.g., "Trending Market") and strategy suggestions like "Follow trends" or "Trade ranges."
📖 Usage Guidelines
Core Settings
Hurst Lookback Period
Default: 100
Range: 20-500
Description: Sets the period for Hurst Exponent calculation; longer values provide more stable regime detection but may lag, while shorter ones are more responsive to recent changes.
Minimum MA Length
Default: 10
Range: 5-50
Description: Defines the shortest possible adaptive MA length, ideal for fast responses in mean-reverting conditions.
Maximum MA Length
Default: 200
Range: 50-500
Description: Sets the longest adaptive MA length for smoothing in strong trends; adjust based on asset volatility.
Sensitivity Power
Default: 2.0
Range: 1.0-5.0
Description: Controls how aggressively the length adapts to Hurst changes; higher values make it more sensitive to regime shifts.
MA Type
Default: EMA
Options: EMA, SMA, WMA
Description: Chooses the moving average calculation method; EMA is more responsive, while SMA/WMA offer different weighting.
🖼️ Visual Settings
Show Adaptive Bands
Default: True
Description: Toggles visibility of upper/lower bands for volatility channels.
Band Multiplier
Default: 1.5
Range: 0.5-3.0
Description: Scales band width using ATR; higher values create wider channels for conservative signals.
Show Information Panel
Default: True
Description: Displays regime info and strategy tips in a top-right panel.
MA Line Width
Default: 2
Range: 1-5
Description: Adjusts thickness of the main MA line for better visibility.
Color Theme
Default: Blue
Options: Blue, Classic, Dark Purple, Vibrant
Description: Selects color scheme for MA, bands, and fills to match user preferences.
🚨 Alert Settings
Enable Alerts
Default: True
Description: Activates notifications for regime changes and band breakouts.
✅ Best Use Cases
Trend-Following Strategies: In detected trending regimes, use the adaptive MA as a trailing stop or entry filter for momentum trades.
Range Trading: During mean-reverting periods, monitor band breakouts for buying dips or selling rallies within channels.
Risk Management in Random Markets: Reduce exposure when random walk is detected, using tight stops suggested in the info panel.
Multi-Timeframe Analysis: Apply on higher timeframes for regime confirmation, then drill down to lower ones for entries.
Volatility-Based Entries: Use upper/lower band crossovers as signals in adaptive channels for overbought/oversold trades.
⚠️ Limitations
Lagging in Transitions: Regime detection may delay during rapid market shifts, requiring confirmation from other tools.
Not a Standalone System: Best used in conjunction with other indicators; random regimes can lead to whipsaws if traded aggressively.
Parameter Sensitivity: Optimal settings vary by asset and timeframe, necessitating backtesting.
💡 What Makes This Unique
Hurst-Driven Adaptation: Unlike static MAs, it uses fractal analysis to self-tune, providing regime-specific filtering that's rare in standard indicators.
Integrated Strategy Guidance: The info panel offers actionable tips tied to regimes, bridging analysis and execution.
Multi-Regime Visualization: Combines adaptive bands, colored fills, and alerts in one tool for comprehensive market state awareness.
🔬 How It Works
Hurst Exponent Computation:
Calculates log returns over the lookback period to derive the rescaled range (R/S) ratio.
Normalizes to a 0-1 value, where >0.55 indicates trending, <0.45 mean-reverting, and in-between random.
Length Adaptation:
Maps normalized Hurst to an MA length via a power function, clamping between min and max.
Applies the selected MA type to close prices using this dynamic length.
Visualization and Signals:
Plots the MA with regime colors, adds ATR-based bands, and fills areas for trend strength.
Triggers alerts on regime changes or band crosses, with the info panel suggesting strategies like momentum riding in trends.
💡 Note:
For optimal results, backtest settings on your preferred assets and combine with volume or momentum indicators. Remember, no indicator guarantees profits—use with proper risk management. Access premium features and support at PhenLabs.
Choch Pattern Levels [BigBeluga] + AlertsThis version of Choch Pattern Levels includes built-in alert conditions for both ChoCh Up and ChoCh Down patterns. You can now set TradingView alerts directly when either pattern occurs, with optional visual markers (triangles) plotted on the chart.
Based on the original script by BigBeluga, licensed under CC BY-NC-SA 4.0. This is a modified version with alert conditions added.
[TRIX] Ultimate Key Levels and SessionsUltimate MTF Key Levels and Sessions - tired of having to map out key swing highs and lows across multi time frames, so I made an indicator that did it for me and stops when mitigated but keeps lines so you can also use for back testing. User can select up to 4 time frames for high / lows, overall sessions, and/or kill zones. All times are adjustable for kill zones and sessions.
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.
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.
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
Lucas Scalia Maximums and minimums of the day, week, and month. Basically, it automatically marks and labels the highs and lows of the previous daily , weekly, and monthly candles. The labels can be added or removed at your discretion, leaving only the dotted lines.
ICT Liquidity Pools SSL BSLParent Swings - ICT Liquidity Pools (BSL & SSL)
This indicator is designed to cut through the noise of the market and identify truly significant swing points. Instead of marking every minor high and low, it uses the powerful logic of ICT (Inner Circle Trader) breaker patterns to validate and draw only the "Parent Swings" that matter. These are the key liquidity pools that often act as the market's next target.
The Concept: Price Moves from Pool to Pool
A core concept taught by ICT is that price doesn't move randomly; it moves with purpose. The market is engineered to move from one pool of liquidity to the next.
Buy Side Liquidity (BSL): This is a pool of stop-loss orders resting just above a significant swing high. The market is often drawn upwards to "sweep" this liquidity.
Sell Side Liquidity (SSL): This is a pool of stop-loss orders resting just below a significant swing low. The market is often drawn downwards to sweep this liquidity.
This indicator identifies these key BSL and SSL levels after they have been confirmed by a shift in market structure, giving you a clear map of potential targets.
How It Works
The indicator doesn't just look for any swing high or low. It waits for a specific sequence of events to confirm that a swing is a "Parent Swing" and a valid liquidity pool:
Liquidity Sweep: First, it looks for a classic liquidity raid. For a significant high (BSL), it needs to see a swing high get taken out by a higher high. For a significant low (SSL), it needs to see a swing low get taken out by a lower low.
Market Structure Shift (MSS): After the liquidity sweep, the indicator waits for confirmation that the market's intention has changed. This happens when price breaks aggressively in the opposite direction, creating a breaker block pattern.
Confirmation: Only when both the liquidity sweep and the market structure shift are confirmed does the indicator draw the line, marking the swing as a valid BSL or SSL level.
How to Use This Indicator
The primary use for this indicator is to identify targets. Once a BSL (red line) or SSL (green line) is established, you can anticipate that the market will eventually make a run for that level.
If you are in a long position, the next BSL line above you can serve as a logical take-profit target.
If you are in a short position, the next SSL line below you can serve as a logical take-profit target.
The labels (BSL/SSL) will always stay with the current price action for active levels, making it easy to see your targets at a glance.
Settings
Pivot Lookback: Controls the sensitivity of the swing detection. A higher number will find larger, more significant liquidity pools.
Invalidation Threshold (Crossings): This is a key feature. It sets how many times the price must cross through a liquidity level before it's considered "used up" or invalidated. Once invalidated, the line will dim and the label will disappear, keeping your chart clean.
Disclaimer: This is a tool for technical analysis and should not be considered financial advice. Always use proper risk management and integrate this indicator with your own trading strategy.
BTC PL Trend + Floor - Log PilotBTC Power Law Trend + Floor with forward projection.
Sky blue for the trend. Neon orange for the floor. Both project forward in dotted green.
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livelli GoldTheory of important psychological prices with a modification made to "range" considering the range levels where the price is attracted and rejected
Previous Day/Week High, Low, Midpoint LinesI put together this script as I couldn’t find exactly what I was looking for on Tradingview.
The script plots the previous day and week high and low as well as the midpoint of the range between the daily and weekly high and low. These lines stop printing once a price candle crosses the lines.
This may be of use to you. Enjoy!