First FVG Custom Time RangeFirst FVG — Opening Range Fair Value Gap Detector
Smart Money Opening Imbalance Strategy Tool
This script automatically detects and highlights the first Fair Value Gap (FVG) that forms between 9:30 and 10:00 AM Eastern Time (New York session open) — a critical period often referred to as the Opening Range. It’s designed for Smart Money traders looking to isolate early-morning inefficiencies that may influence market behavior throughout the trading day.
🔍 What This Script Does:
Automatically Detects the First FVG in the Opening Range
Scans price action between 9:30 and 10:00 AM ET and identifies the first valid bullish or bearish FVG that forms.
Only one FVG is shown per day — ensuring a clean, focused view.
Draws a Visual Zone
Once detected, the FVG zone is extended forward on the chart (customizable duration).
A labeled zone helps users track how price reacts to it throughout the session.
Optional Retest Alerts
Alerts you when price re-enters the zone — a potential reaction point used by SMC traders.
Customization Options
Set your preferred session time window
Adjust zone duration (in bars)
Customize label font size, colors, and visibility
Enable/disable alert on retest
📈 Why the First FVG Matters:
Time-Sensitive Setup: The first FVG typically forms no earlier than 9:31 AM ET and represents a potential “time distortion” or imbalance zone created by aggressive market participants during the open.
Behavioral Study: Many traders journal how price behaves around this zone each day — whether it acts as support, resistance, or gets traded through later in the session.
Predictive Value: Observing how this zone is respected or broken can provide anticipatory insight into intraday price action, rather than reactive analysis.
Great for New Traders: This opening FVG is often recommended as a starting reference point for building trade models and understanding how institutional imbalances unfold.
🚀 What Makes It Unique:
This tool doesn’t spam your chart with every FVG. It laser-focuses on a single, time-bound zone backed by institutional logic — the first presented imbalance of the day during the opening range.
Use it to:
Monitor price behavior around early inefficiencies
Plan journal entries and pattern recognition
Align intraday setups with a high-probability SMC model
Whether you’re scalping, journaling market structure, or refining entries based on liquidity behavior — this script helps you make the first 30 minutes count.
Cerca negli script per "market structure"
Trading Sessions [BigBeluga]
This indicator brings Smart Money Concept (ICT) session logic to life by plotting key global trading sessions with volume and delta analytics. It not only highlights session ranges but also tracks their midpoints — which often act as intraday support/resistance levels.
🔵 KEY FEATURES
Visual session boxes: Plots boxes for Tokyo, London, New York, and Sydney sessions based on user-defined UTC+0 time ranges.
Volume & delta metrics: Displays total volume and delta volume (buy–sell difference) within each session.
Mid, High & Low Range Extension: Once a session ends, the high, low, and midpoint levels automatically extend — ideal for detecting SR zones.
Session labels: Each box includes a label with session name, time, volume, and delta for quick reference.
Custom session control: Enable or disable sessions individually and configure start/end times.
Clean aesthetics: Transparent shaded boxes with subtle borders make it easy to overlay without clutter.
Sessions Dashboard: Shows the time range of each session and tells you whether the session is currently active.
🔵 USAGE
Enable the sessions you want to monitor (e.g., New York or Tokyo) from the settings.
Use session volume and delta values to gauge the strength and direction of institutional activity.
Watch for price interaction with the extended range — it often acts as dynamic support/resistance after the session ends.
Overlay it with liquidity tools or breaker blocks for intraday strategy alignment.
🔵 EXAMPLES
Extended Future Range acted as resistance/support.
Delta value helped confirm bullish pressure during New York open.
Multiple sessions helped identify kill zone overlaps and high-volume turns.
Trading Sessions is more than just a visual scheduler — it's a precision tool for traders who align with session-based volume dynamics and ICT methodology. Use it to define high-probability zones, confirm volume shifts, and read deeper into the true intent behind market structure.
Wavelet Smoothed Moving Average (TechnoBlooms)Wavelet Smoothed Moving Average (WSMA) is a part of the Quantum Price Theory (QPT) Series of indicators.
Overview:
The Wavelet Smoothed Moving Average (WSMA) is a trend-following indicator inspired by multi-level Haar Wavelet decomposition. Rather than using traditional wavelet basis functions, it emulates the core wavelet concept of multi-resolution analysis using nested simple moving averages (SMA).
How It Works:
WSMA applies three levels of smoothing:
• Level 1: SMA on price (base smoothing)
• Level 2: SMA on Level 1 output (further denoising)
• Level 3: SMA on Level 2 output (final approximation)
Why Use WSMA:
• Multi-Level Smoothing: Captures price structure across multiple time scales, unlike single-length MAs.
• Noise Reduction: Filters out short-term volatility and focuses on the underlying trend.
• Low Lag, High Clarity: Unlike traditional moving averages that react slowly or miss subtle shifts, WSMA’s layered smoothing delivers cleaner and more adaptive trend detection.
Unique Value:
• Wavelet-Inspired Design: Mimics core wavelet decomposition logic without the complexity of downsampling or basis functions.
• Perfect for Trend Confirmation: The final line (a3) can act as a trend filter, while the detail levels can help identify momentum shifts and volatility bursts.
• Fits Into Quantum Price Theory: As part of the QPT framework, WSMA bridges scientific theory with trading application, giving traders a deeper understanding of market structure and signal compression.
Weekly Open (Current Week Only)📘 Indicator Name: Weekly Open (Current Week Only)
📝 Description:
This indicator plots a horizontal line representing the weekly open price, visible only during the current trading week. At the beginning of each new week (based on TradingView’s weekly time segmentation), the indicator captures the open price of the first candle and draws a constant line across the chart until the week ends. Once the new week begins, the line resets and updates with the new weekly open.
🎯 How to Use – ICT Concepts Integration (Weekly Profile):
This tool is designed to complement ICT (Inner Circle Trader) trading strategies, particularly within the weekly profile framework, by offering a clear and persistent visual of the weekly open, which is a critical reference point in ICT’s market structure theory.
✅ Use Cases:
Directional Bias:
According to ICT concepts, price trading above the weekly open suggests a bullish bias for the week, while trading below it implies bearish conditions.
Traders can use the weekly open line to align their intraweek trades with higher timeframe directional bias.
Dealing Ranges:
Weekly open helps frame the weekly dealing range, especially when combined with other levels like weekly high/low or previous week’s range.
It allows traders to identify potential liquidity pools or areas where price may seek to rebalance.
Mean Reversion Entries:
Price often reverts to or reacts from the weekly open. Traders may use this as a target or entry level, particularly during Monday/Tuesday setups.
Works well in conjunction with concepts like OTE (Optimal Trade Entry) and Judas Swings.
Risk Management:
Acts as a clean and visual anchor to structure stop losses or take-profits based on weekly bias shifts.
Machine Learning RSI ║ BullVisionOverview:
Introducing the Machine Learning RSI with KNN Adaptation – a cutting-edge momentum indicator that blends the classic Relative Strength Index (RSI) with machine learning principles. By leveraging K-Nearest Neighbors (KNN), this indicator aims at identifying historical patterns that resemble current market behavior and uses this context to refine RSI readings with enhanced sensitivity and responsiveness.
Unlike traditional RSI models, which treat every market environment the same, this version adapts in real-time based on how similar past conditions evolved, offering an analytical edge without relying on predictive assumptions.
Key Features:
🔁 KNN-Based RSI Refinement
This indicator uses a machine learning algorithm (K-Nearest Neighbors) to compare current RSI and price action characteristics to similar historical conditions. The resulting RSI is weighted accordingly, producing a dynamically adjusted value that reflects historical context.
📈 Multi-Feature Similarity Analysis
Pattern similarity is calculated using up to five customizable features:
RSI level
RSI momentum
Volatility
Linear regression slope
Price momentum
Users can adjust how many features are used to tailor the behavior of the KNN logic.
🧠 Machine Learning Weight Control
The influence of the machine learning model on the final RSI output can be fine-tuned using a simple slider. This lets you blend traditional RSI and machine learning-enhanced RSI to suit your preferred level of adaptation.
🎛️ Adaptive Filtering
Additional smoothing options (Kalman Filter, ALMA, Double EMA) can be applied to the RSI, offering better visual clarity and helping to reduce noise in high-frequency environments.
🎨 Visual & Accessibility Settings
Custom color palettes, including support for color vision deficiencies, ensure that trend coloring remains readable for all users. A built-in neon mode adds high-contrast visuals to improve RSI visibility across dark or light themes.
How It Works:
Similarity Matching with KNN:
At each candle, the current RSI and optional market characteristics are compared to historical bars using a KNN search. The algorithm selects the closest matches and averages their RSI values, weighted by similarity. The more similar the pattern, the greater its influence.
Feature-Based Weighting:
Similarity is determined using normalized values of the selected features, which gives a more refined result than RSI alone. You can choose to use only 1 (RSI) or up to all 5 features for deeper analysis.
Filtering & Blending:
After the machine learning-enhanced RSI is calculated, it can be optionally smoothed using advanced filters to suppress short-term noise or sharp spikes. This makes it easier to evaluate RSI signals in different volatility regimes.
Parameters Explained:
📊 RSI Settings:
Set the base RSI length and select your preferred smoothing method from 10+ moving average types (e.g., EMA, ALMA, TEMA).
🧠 Machine Learning Controls:
Enable or disable the KNN engine
Select how many nearest neighbors to compare (K)
Choose the number of features used in similarity detection
Control how much the machine learning engine affects the RSI calculation
🔍 Filtering Options:
Enable one of several advanced smoothing techniques (Kalman Filter, ALMA, Double EMA) to adjust the indicator’s reactivity and stability.
📏 Threshold Levels:
Define static overbought/oversold boundaries or reference dynamically adjusted thresholds based on historical context identified by the KNN algorithm.
🎨 Visual Enhancements:
Select between trend-following or impulse coloring styles. Customize color palettes to accommodate different types of color blindness. Enable neon-style effects for visual clarity.
Use Cases:
Swing & Trend Traders
Can use the indicator to explore how current RSI readings compare to similar market phases, helping to assess trend strength or potential turning points.
Intraday Traders
Benefit from adjustable filters and fast-reacting smoothing to reduce noise in shorter timeframes while retaining contextual relevance.
Discretionary Analysts
Use the adaptive OB/OS thresholds and visual cues to supplement broader confluence zones or market structure analysis.
Customization Tips:
Higher Volatility Periods: Use more neighbors and enable filtering to reduce noise.
Lower Volatility Markets: Use fewer features and disable filtering for quicker RSI adaptation.
Deeper Contextual Analysis: Increase KNN lookback and raise the feature count to refine pattern recognition.
Accessibility Needs: Switch to Deuteranopia or Monochrome mode for clearer visuals in specific color vision conditions.
Final Thoughts:
The Machine Learning RSI combines familiar momentum logic with statistical context derived from historical similarity analysis. It does not attempt to predict price action but rather contextualizes RSI behavior with added nuance. This makes it a valuable tool for those looking to elevate traditional RSI workflows with adaptive, research-driven enhancements.
Heiken Ashi Supertrend ADXHeiken Ashi Supertrend ADX Indicator
Overview
This indicator combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits.
Strategy Mechanics
Entry Signals
The strategy uses a unique blend of technical signals to identify high-probability trade entries:
Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement. These are overlayed onto normal candes for more accuarte signalling and plotting
Supertrend Filter: Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction.
ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25).
Exit Signals
Positions are closed when either:
An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction)
Any of the three stop loss mechanisms are triggered
Triple-Layer Stop Loss System
The strategy employs a sophisticated three-tier stop loss approach:
ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations.
Swing Point Stop: Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm.
Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection.
Optimization Features
Customizable Filters : All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions
Adjustable Parameters : Fine-tune ATR periods, Supertrend factors, and ADX thresholds
Flexible Stop Loss Settings : Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters
Best Practices for Implementation
[Recommended Timeframes : Works best on 4-hour charts and above, where trends develop more reliably
Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends
Performance Characteristics
When properly optimized, this has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves.
The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed.
This indicator represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
Heiken Ashi Supertrend ADX - StrategyHeiken Ashi Supertrend ADX Strategy
Overview
This strategy combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits.
Strategy Mechanics
Entry Signals
The strategy uses a unique blend of technical signals to identify high-probability trade entries:
Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement.
Supertrend Filter : Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction.
ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25).
Exit Signals
Positions are closed when either:
An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction)
Any of the three stop loss mechanisms are triggered
Triple-Layer Stop Loss System
The strategy employs a sophisticated three-tier stop loss approach:
ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations.
Swing Point Stop : Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm.
Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection.
Optimization Features
Customizable Filters: All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions
Adjustable Parameters: Fine-tune ATR periods, Supertrend factors, and ADX thresholds
Flexible Stop Loss Settings: Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters
Best Practices for Implementation
Recommended Timeframes: Works best on 4-hour charts and above, where trends develop more reliably
Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends
Position Sizing: The strategy uses a percentage of equity approach (default: 3%) for position sizing
Performance Characteristics
When properly optimized, this strategy has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves.
The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed.
This strategy represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
Volume Pro Indicator## Volume Pro Indicator
A powerful volume indicator that visualizes volume distribution across different price levels. This tool helps you easily identify where trading activity concentrates within the price range.
### Key Features:
- **Volume visualization by price levels**: Green (lower zone), Magenta (middle zone), Cyan (upper zone)
- **VPOC (Volume Point of Control)**: Shows the price level with the highest volume concentration
- **High and Low lines**: Highlights the extreme levels of the analyzed price range
- **Customizable historical analysis**: Configurable number of days for calculation
### How to use it:
- Colored volumes show where trading activity concentrates within the price range
- The VPOC helps identify the most significant price levels
- Different colors allow you to quickly visualize volume distribution in different price areas
Customizable with numerous options, including analysis period, calculation resolution, colors, and visibility of different components.
### Note:
This indicator works best on higher timeframes (1H, 4H, 1D) and liquid markets. It's a visual analysis tool that enhances your understanding of market structure.
#volume #vpoc #distribution #volumeprofile #trading #analysis #indicator #professional #pricelevels #volumedistribution
TimeMapTimeMap is a visual price-reference indicator designed to help traders rapidly visualize how current price levels relate to significant historical closing prices. It overlays your chart with reference lines representing past weekly, monthly, quarterly (3-month), semi-annual (6-month), and annual closing prices. By clearly plotting these historical price references, TimeMap helps traders quickly gauge price position relative to historical market structure, aiding in the identification of trends, support/resistance levels, and potential reversals.
How it Works:
The indicator calculates the precise number of historical bars corresponding to weekly, monthly, quarterly, semi-annual, and annual intervals, dynamically adjusting according to your chart’s timeframe (intraday, daily, weekly, monthly) and chosen market type (Stocks US, Crypto, Forex, or Futures). Historical closing prices from these periods are plotted directly on your chart as horizontal reference lines.
For intraday traders, the script accurately calculates historical offsets considering regular and extended trading sessions (e.g., pre-market and after-hours sessions for US stocks), ensuring correct positioning of historical lines.
User-Configurable Inputs Explained in Detail:
Market Type:
Allows you to specify your trading instrument type, automatically adjusting calculations for:
- Stocks US (default): 390 minutes per regular session (780 minutes if extended hours enabled), 5 trading days/week.
- Crypto: 1440 minutes/day, 7 trading days/week.
- Forex: 1440 minutes/day, 5 trading days/week.
- Futures: 1320 minutes/day, 5 trading days/week.
Show Weekly Close:
When enabled, plots a line at the exact closing price from one week ago. Provides short-term context and helps identify recent price momentum.
Show Monthly Close:
When enabled, plots a line at the exact closing price from one month ago. Helpful for evaluating medium-term price positioning and monthly trend strength.
Show 3-Month Close:
When enabled, plots a line at the exact closing price from three months ago. Useful for assessing quarterly market shifts, intermediate trend changes, and broader market sentiment.
Show 6-Month Close:
When enabled, plots a line at the exact closing price from six months ago. Useful for identifying semi-annual trends, significant price pivots, and longer-term support/resistance levels.
Show 1-Year Close:
When enabled, plots a line at the exact closing price from one year ago. Excellent for assessing long-term market direction and key annual price levels.
Enable Smoothing:
Activates a Simple Moving Average (SMA) smoothing of historical reference lines, reducing volatility and providing clearer visual references. Recommended for traders preferring less volatile reference levels.
Smoothing Length:
Determines the number of bars used in calculating the SMA smoothing of historical lines. Higher values result in smoother but slightly delayed reference lines; lower values offer more immediate yet more volatile levels.
Use Extended Hours (Intraday Only):
When enabled (only applicable for Stocks US), it accounts for pre-market and after-hours trading sessions, providing accurate intraday historical line calculations based on extended sessions (typically 780 minutes/day total).
Important Notes and Compliance:
- This indicator does not provide trading signals, recommendations, or predictions. It serves purely as a visual analytical tool to supplement traders’ existing methods.
- Historical lines plotted are strictly based on past available price data; the indicator never accesses future data or data outside the scope of Pine Script’s standard capabilities.
- The script incorporates built-in logic to avoid runtime errors if insufficient historical data exists for a selected timeframe, ensuring robustness even with limited historical bars.
- TimeMap is original work developed exclusively by Julien Eche (@Julien_Eche). It does not reuse or replicate third-party or existing open-source scripts.
Recommended Best Practices:
- Use TimeMap as a complementary analytical reference, not as a standalone strategy or trade decision-making tool.
- Adapt displayed historical periods and smoothing settings based on your trading style and market approach.
- Default plot colors are optimized for readability on dark-background charts; adjust as necessary according to your preference and chart color scheme.
This script is published open-source to benefit the entire TradingView community and fully complies with all TradingView script publishing rules and guidelines.
Session Start & Day BackgroundThis indicator visually enhances your TradingView charts by highlighting the start of each new trading day and coloring the background based on the day of the week.
The first candle of each new trading day is marked in gray for better session separation.
The background color changes based on the current day of the week, making it easier to recognize market patterns and trends at a glance.
Works across all markets including Forex, Stocks, and Crypto.
Designed to improve chart readability and market structure visualization.
Ideal for traders who want a clearer overview of daily sessions and better differentiation between trading days! 🚀
Ichimoku BoxIntroducing Ichimoku Box Indicator:
Key Features:
Customizable Box Periods: Adjustable box periods with default settings of 9, 26, and 52.
Shifted Span A and Span B Points: Easily adjustable shifts and colors.
Additional Box Option: Capability to add an extra box for more detailed analysis.
High and Low Markers: Identifies the highest and lowest candle within each box with distinct markers.
Candle Countdown Timer: Displays the remaining candles before a box loses its high or low.
Drag-and-Drop Functionality: Move boxes to any position on the chart with a vertical line.
Automatic Box Drawing: When the indicator is first applied, a vertical line appears on the mouse cursor, and clicking on any point automatically draws the boxes.
How It Works:
The indicator allows users to visualize Ichimoku periods as boxes, highlighting key price levels and shifts in market structure. It simplifies the analysis process by providing visual cues and customizable settings for enhanced flexibility.
Rally Base Drop SND Pivots [LuxAlgo]The Rally Base Drop SND Pivots indicator uses "Rally", "Base", and "Drop" Candles to determine pivot points at which supply and demand (SND) levels are drawn.
🔶 USAGE
Rally, Base, and Drop (RBD) candles create a formula for seeing market structure through a fixed methodology. We are able to use this concept to point out pivot areas where Rallies and Drops directly meet.
The RBD SND Pivots are similar to traditionally identified "fractal" pivot points, with one key difference.
RBD SND Pivots detect a specific number of Rally and Drop candles directly back-to-back, requiring one side of the pivot to contain entirely green candles and the other to be entirely red candles or vice versa.
Since these pivot levels are based on Rally, Base, and Drop candles, the method directly implements rigid logic to further structure a trading system when utilizing these pivot levels with traditional SND concepts.
Furthermore, by implementing this logic when looking for pivots, a significant portion of potential noise is naturally filtered out.
🔶 DETAILS
In typical SND systems, the term "Base" is used for multiple meanings.
In this indicator, the base is a product of a pivot being formed. Once a Pivot is identified, the "Base" is marked as the first Rally or Drop of the second half of the pivot formation.
Once the pivot is identified, the high or low of the base candle is used to measure the pivot level.
🔶 SETTINGS
Length: Sets the number of Rally and Drop Candles that the script will require to identify pivots.
Ex. "3" = 3 Rally followed by 3 Drop
Historical Lookback: Hides historic levels based on a bar # Lookback from the current bar.
When set to 0, all Levels will display. (0 by default)
ORB MOTORB MOT - Opening Range Breakout Indicator (Educational purpos only)
The ORB MOT (Opening Range Breakout Multi-Option Tool) is a powerful TradingView indicator designed to help traders identify and capitalize on market breakouts based on the opening range. This tool provides extensive customization options, allowing traders to fine-tune their breakout strategies according to different timeframes and trading sessions.
Key Features:
Configurable Opening Range: Traders can define the opening range period (1, 2, 3, 5, 15, or 30 minutes) to suit their trading strategy.
Session-Based Analysis: The indicator automatically adjusts for market session times and provides an optional international override for different time zones.
Visual Representation: ORB levels are displayed with clear labels, shaded regions, and customizable colors for easy identification.
Breakout and Retest Detection: Identifies breakout points and potential retests, helping traders make informed decisions.
Multiple Price Targets: Calculates and plots key levels such as 50%, 100%, 150%, and 200% price targets for potential trade exits.
Fibonacci Extensions: Optional Fibonacci targets (21.2%, 61.8%) can be displayed for additional market confluence.
Alerts and Notifications: Provides alerts for breakout conditions, ensuring traders don’t miss critical movements.
How It Works:
The indicator calculates the high and low of the selected opening range.
Breakout points are identified when price crosses above or below the range.
The indicator plots multiple price targets based on the range's size.
Traders can visualize past ORB levels and retests for better trend analysis.
Alerts notify users of significant breakout events.
Who Can Use This Indicator?
Scalpers & Day Traders: Perfect for identifying quick breakout opportunities.
Swing Traders: Helps determine key levels for potential reversals or trend continuations.
Institutional & Retail Traders: Useful for analyzing market structure and setting price targets.
The ORB MOT indicator is a must-have tool for traders looking to refine their breakout strategy with precision and ease. Whether you're a beginner or an experienced trader, this indicator provides valuable insights into market movements and trading opportunities.
MTF Fractals [RunRox]🔽 MTF Fractals is a powerful indicator designed to visualize fractals from multiple timeframes directly on your chart, highlight liquidity sweeps at these fractal levels, and provide several additional features we’ll cover in detail below.
We created this indicator because we couldn’t find a suitable tool that met our specific needs on TradingView. Therefore, we decided to develop a valuable indicator for the entire TradingView community, combining simplicity and versatility.
⁉️ WHAT IS A FRACTALS?
In trading, a fractal is a technical analysis pattern composed of five consecutive candles, typically highlighting local market turning points. Specifically, a fractal high is formed when a candle’s high is higher than the highs of the two candles on either side, whereas a fractal low occurs when a candle’s low is lower than the lows of the two adjacent candles on both sides.
Traders use fractals as reference points for identifying significant support and resistance levels, potential reversal areas, and liquidity zones within price action analysis. Below is a screenshot illustrating clearly formed fractals on the chart.
📙 FRACTAL FORMATION
Here’s how fractals form depending on your chosen setting (3, 5, 7, or 9):
▶️ 3-bar fractal – forms when the central candle is higher (for highs) or lower (for lows) than one candle on each side.
▶️ 5-bar fractal – forms when the central candle is higher or lower than two candles on both sides.
▶️ 7-bar fractal – forms when the central candle is higher or lower compared to the three candles on each side.
▶️ 9-bar fractal – forms similarly but requires four candles on each side, making the fractal significantly more reliable and robust.
A higher number of bars ensures stronger fractal levels, highlighting more significant potential reversal points on the chart.
Now that we’ve covered the theory behind fractal formation, let’s explore the indicator’s functionality in more detail.
Below, I’ll explain each feature clearly and illustrate how you can effectively utilize this indicator in your trading.
🕐 MULTI-TIMEFRAME FRACTALS
We realized that displaying fractals only from the current timeframe isn’t always convenient, so we’ve introduced Multi-Timeframe Fractals into this indicator.
Now you can easily display fractals from higher timeframes directly on your current chart, providing you with broader market context and clearer trading signals.
Fractals from Current Timeframe – Fractals identified directly on the chart’s current timeframe.
Fractals from Higher Timeframes – Fractals sourced from higher timeframes and displayed clearly on your current chart for enhanced market perspective.
📈 FRACTAL LINES
Since fractals represent areas of high liquidity, we’ve added an option to extend fractal levels horizontally as Fractal Lines across your chart.
This feature allows you to clearly visualize critical liquidity areas from higher timeframes, directly on your current timeframe chart, as demonstrated in the screenshot below.
With this approach, you can clearly visualize significant fractal levels from higher timeframes directly on your current chart - for example, projecting fractals from the 1-hour (1H) timeframe onto a 3-minute (3m) chart. ✅ This helps you easily identify critical liquidity areas and potential reversal zones without the need to switch between multiple timeframes.
💰 LIQUDITY SWEEP (LIQUDITY GRAB)
To enhance your trading experience, we’ve introduced a feature that clearly identifies liquidity sweeps of fractal levels.
A Liquidity Sweep occurs when a candle closes beyond a fractal line, leaving a wick that pierces through it, signaling that liquidity has been collected at this level.
Below, you’ll find two examples illustrating this functionality:
▶️ Fractal lines from the current timeframe
▶️ Fractal lines projected from higher timeframes
The first example illustrates liquidity being swept from fractals on the current timeframe .
Here, the candle clearly closes beyond the fractal line, leaving a wick through it. This indicates a liquidity sweep at the fractal level, visually highlighting a potential reversal or continuation opportunity directly on your chart.
In the second example, fractals from the higher timeframe are projected onto your current chart.
When a candle on your current timeframe closes beyond an HTF fractal line - leaving a wick through this level - the indicator highlights it clearly. This signals to traders a potential reversal zone, indicating that liquidity has been swept, and price may reverse or significantly react from this area.
You can also enable the display of additional labels on the chart. These labels clearly mark liquidity sweeps at fractal levels, making it easier to visually identify potential reversal points directly on your chart.
⚙️ SETTINGS
Below are the indicator settings with detailed explanations for each parameter.
🔷 Bars in Fractal – Number of candles to the right and left required to form a fractal.
🔷 Fractal Timeframe – Select the timeframe from which you want to display fractals on the current chart.
🔷 Max Age, bars – Number of bars during which the fractal will remain active.
🔷 Show Fractal Line – Display or hide fractal lines.
🔷 Line Style – Choose the style of the line displayed on the chart.
🔷 Line Width – Thickness of the fractal line.
🔷 High Fractal – Style and color of bearish fractals.
🔷 Low Fractal – Style and color of bullish fractals.
🔷 Fractal Label Size – Select the size of fractal labels.
🔷 Show Sweep Labels – Option to display labels when a liquidity sweep occurs.
🔷 Label Color – Color and transparency of the area marked on the chart during a sweep.
🔷 Shade Sweep Area – Show or hide the sweep area shading.
🔷 Area Color – Color and transparency settings for the sweep area.
🔶 We’d love to hear your feedback and any suggestions for additional features you’d like to see in this indicator. We’ll be happy to consider your ideas and continue improving the indicator!
ZenAlgo - LevelsThis script combines multiple anchored Volume-Weighted Average Price (VWAP) calculations into a single tool, providing a continuous record of past VWAP levels and highlighting when price has tested them. Typically, VWAP indicators show only the current VWAP for a single anchor period, requiring you to either keep re-anchoring manually or juggle multiple instances of different VWAP tools for each timeframe. By contrast, this script automatically tracks both the ongoing VWAP and previously completed VWAP values, along with real-time detection of “tests” (when price crosses a particular VWAP level). It’s especially valuable for traders who want to see how price has interacted with VWAP over several sessions, weeks, or months—without switching between separate indicators or manually setting anchors.
Below is a comprehensive explanation of each component, why multiple VWAP lines working together can be more informative than a single line, and how to adjust the script for various markets and trading styles:
Primary VWAP vs. Historical VWAP Lines - Standard VWAP indicators typically focus on the current line only. This script also calculates a primary VWAP, but it “locks in” each completed VWAP value when a new time anchor is detected (e.g., new weekly bar, new monthly bar, new session). As a result, you retain an ongoing history of VWAP lines for every completed anchored period. This is more powerful than manually setting up multiple VWAP tools—one for each desired timeframe—because everything is handled in a single script. You avoid chart clutter and the risk of forgetting to reset your manual VWAP at the correct bar.
Why Combine Multiple Anchored VWAP Lines in One Script? - Viewing several anchored VWAP lines together offers synergy . You see not only the current VWAP but also previous ones from different sessions or months, all within the same chart pane. This synergy becomes apparent if multiple historical VWAP lines cluster near the same price level, indicating a potentially significant zone of volume-based support or resistance. Handling this manually would involve repeatedly setting separate VWAP indicators, each reset at specific points, which is time-consuming and prone to error. In this script, the process is automated: as soon as the anchor changes, a completed VWAP line is stored so you can observe how price eventually reacts to it, repeatedly or not at all.
Automated “Test” Detection - Once a historical VWAP line is set, the script tracks when price crosses it in subsequent bars. If the high and low of a bar span that line, the script marks it in red (both the line and its label). It also keeps a counter of how many times each line has been tested. This method goes beyond a simple visual approach by quantifying the retests. Because all these lines are created and managed in one place, you don’t have to manually label the lines or check them one by one.
Advantages Over Manually Setting Multiple VWAPs
You save screen space: Instead of layering several VWAP indicators, each with unique settings, this single script plots them all on one overlay.
Automation: When a new anchor period begins, the script “closes out” the old VWAP and starts a new one. You never need to remember to reset it manually.
Retest Visualization: The script not only draws each line but also changes color and updates the label automatically if a line gets tested. Doing this by hand would be labor-intensive.
Unified Parameters: All settings (e.g., array size, max distance, test count limit) apply uniformly. You can manage them from one place, instead of configuring multiple separate tools.
Extended Insight with Multiple VWAP Lines
Since VWAP reflects the volume-weighted average price for each chosen period, historical lines can show zones where the market had a fair-value consensus in previous intervals. When the script preserves these lines, you see potential support/resistance areas more distinctly. If, for instance, price continually pivots around an old VWAP line, that may reveal a strong volume-based level. With several older VWAP lines on the chart, you gain an immediate sense of where these volume-derived averages have appeared and how price reacted over time. This wider perspective often proves more revealing than a single “current” VWAP line that does not reflect previous anchor sessions.
Handling of Illiquid Markets and Volume Limitations
VWAP is inherently tied to volume data, so its reliability decreases if volume reporting is missing or if the asset trades with very low liquidity. In such cases, a single large trade might momentarily skew the VWAP, resulting in “false” test signals when the high/low range intersects an abnormal price swing. If you suspect the data is incomplete or the market is unusually thin, it’s wise to confirm the validity of these VWAP lines before using them for any decision-making. Additionally, unusual market conditions—like after-hours trading or sudden high-volatility events—may cause VWAP to shift quickly, setting up multiple lines in a short time.
Key User-Configurable Settings
Hide VWAP on Day timeframe and above : Lets you disable the primary VWAP plot on daily or higher timeframes for a cleaner view.
Anchor Period : Select from Session, Week, Month, Quarter, Year, Decade or Century. Controls how frequently the script resets and preserves the VWAP line.
Offset : Moves the current VWAP line by a specified number of bars if you need a shifted perspective.
Max Array Size : Caps how many past VWAP lines the script will remember. Prevents clutter if you’re charting very long histories.
Max Distance : Defines how far back (in bar index units) a line is kept. If a line’s start bar is older than this threshold, it’s removed, keeping the chart uncluttered.
Max Red Labels : Limits the number of tested (red) VWAP lines that appear. If price tests a large number of old lines, only the newest red labels remain once you hit the set limit.
Workflow Overview
As soon as a new anchor period begins (e.g., a new weekly candle if “Week” is chosen), the script ends the current VWAP and stores that final value in its internal arrays.
It creates a dotted line and label representing the completed VWAP, and keeps track of whether it has been tested or not.
Subsequent bars may then cross that line. If a bar’s high/low includes the line’s value, it’s flagged as tested, labeled red, and a test counter increases.
As new anchored periods come, old lines remain visible—unless they fall outside your maxDistance or you exceed the maximum stored line count.
Real-World Benefits
Combining multiple VWAP lines—ranging, for example, from session-based lines for intraday perspectives to monthly or quarterly lines for broader context—provides a layered view of the volume-based fair price. This can help you quickly spot zones where price repeatedly intersects old VWAPs, potentially highlighting where bulls or bears took action historically. Because this script automates the management of all these lines and flags their retests, it removes a great deal of repetitive manual work that would typically accompany multiple, separate VWAP indicators set to different anchors.
Limitations & Practical Use
As with any volume-related tool, the script depends on reliable volume data. Assets trading on smaller venues or during illiquid periods may produce spurious signals. The script does not signal buy or sell decisions; rather, it helps visually map out where volume-weighted averages from previous periods might still be relevant to market behavior. Always combine the insight from these historical VWAP lines with your existing analytical approach or other technical and fundamental tools you use.
Conclusion
This script unifies past and present VWAP lines into one overlay, automatically detecting new anchor resets, storing the final VWAP values, and indicating whenever old lines are retested by price. It offers synergy through the simultaneous display of multiple historical VWAP lines, making it quicker and easier to detect potential support/resistance zones and better reflect changing market volumes over time. You no longer need to manually create, configure, or reset multiple VWAP indicators. Instead, the script handles all aspects of line creation, retest detection, and clutter management, giving you a robust framework to observe how historical VWAP data aligns with current price action.
By understanding the significance of multiple anchored VWAP lines, you can assess market structure from multiple angles in a single view. As always, ensure you confirm the reliability of the volume data for your particular asset and use these lines in conjunction with other analyses to form a well-rounded perspective on current market behavior.
VWAP Horizon Suite Optimized - CoffeeKillerVWAP Horizon Suite Optimized - User Guide
Overview
The VWAP Horizon Suite Optimized is a comprehensive technical analysis tool for TradingView designed to enhance your trading strategy with Volume Weighted Average Price (VWAP) analysis, standard deviation bands, and customizable Exponential Moving Averages (EMAs). This indicator provides a robust framework for identifying potential support and resistance levels, price momentum, and market trends.
Key Features
- **Daily VWAP with Session Reset**: Automatically resets at 17:00 (5:00 PM) each day
- **Customizable Standard Deviation/Percentage Bands**: Up to 3 bands above and below VWAP
- **High/Low Point Detection**: Visual markers for significant price levels
- **Multiple Customizable EMAs**: 8 different EMAs that can be individually toggled and styled
- **Visual Customization**: Adjustable colors, fills, and styles for all elements
VWAP Settings
- **Source**: Determines the price data used to calculate VWAP (default: HLC3 - High, Low, Close average)
Bands Settings
- **Bands Calculation Mode**: Choose between "Standard Deviation" or "Percentage" methods
- **Show Band #1, #2, #3**: Toggle visibility for each band
- **Band Multiplier #1, #2, #3**: Adjust the distance from VWAP (in standard deviations or percentage)
- **Show Fills**: Enable colored fills between bands for better visualization
Visualization Settings
- **Show High/Low Markers**: Display diamond markers for local high and low points relative to VWAP, these reset based on the price crossing the VWAP Line.
EMA Settings
The indicator provides 8 customizable EMAs (8, 13, 21, 26, 48, 50, 100, and 200) with individual controls:
- **Show EMA X**: Toggle visibility for each EMA
- **EMA X Period**: Adjust the period length for calculation
- **EMA X Color**: Customize the color of each EMA
- **EMA Line Width**: Set the width for all EMA lines
How to Use
Basic VWAP Analysis
The core VWAP line (blue) represents the average price weighted by volume since the start of the session (17:00 daily reset). This serves as a dynamic support/resistance level and reference point for intraday trading.
1. **Price above VWAP**: Generally bullish short-term sentiment
2. **Price below VWAP**: Generally bearish short-term sentiment
3. **Crosses of VWAP**: Potential shift in short-term momentum
Standard Deviation Bands
The bands surrounding VWAP help identify potential support, resistance, and volatility levels:
- **Band #1 (±1σ)**: Price often reverts to VWAP when reaching these levels
- **Band #2 (±2σ)**: Stronger support/resistance areas, possible reversal zones
- **Band #3 (±3σ)**: Extreme price levels, often indicating overbought/oversold conditions
High/Low Point Detection
Purple and yellow diamond markers identify significant swing highs and lows relative to VWAP, helping you recognize potential reversal points or continuation patterns. (These repaint in a effort to find the max high/low point from the VWAP Line)
EMA Strategy
The customizable EMAs can be used to:
- Find potential support/resistance levels
- Create crossover systems
- Analyze market structure
Common EMA combinations include:
- 8 & 21 for short-term trends
- 50 & 200 for long-term trends and the "Golden Cross/Death Cross"
- 13 & 48 for the "New Golden Cross" - a modern alternative gaining popularity among traders
- 8, 13, 21 for complex short-term momentum analysis
Advanced Usage Tips
For Day Traders
1. **Opening Range Analysis**: Watch how price reacts to VWAP in the first hour of trading
2. **VWAP Reversions**: Look for trades when price touches outer bands and reverses toward VWAP
3. **Band Breakouts**: Strong moves beyond Band #2 may indicate momentum for continuation
For Swing Traders
1. **Use alongside daily/weekly support-resistance levels**
2. **Combine with EMA crossovers for trend confirmation**
3. **Identify potential reversal zones where price reaches Band #3**
Combined Strategies
- **EMA + VWAP Confluence**: Strong signals occur when EMA lines and VWAP/bands align at the same price level
- **High/Low + Band Touch**: When a high/low marker appears near a band, it may indicate a stronger support/resistance level
Conclusion
The VWAP Horizon Suite Optimized provides a comprehensive set of tools for price analysis based on volume-weighted data and exponential averages. By understanding and properly configuring the various components, you can create a powerful visual framework for identifying potential trading opportunities across multiple timeframes.
Remember that no indicator provides perfect signals, and the VWAP Horizon Suite works best when used as part of a complete trading strategy that includes risk management, multiple confirmation tools, and proper analysis of market conditions.
DISCLAIMER
**DISCLAIMER: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.**
Auto Fib Retracement with Buy/SellKey Features of the Advanced Script:
Multi-Timeframe (MTF) Analysis:
We added an input for the higher timeframe (higher_tf), where the trend is checked on a higher timeframe to confirm the primary trend direction.
Complex Trend Detection:
The trend is determined not only by the current timeframe but also by the trend on the higher timeframe, giving a more comprehensive and reliable signal.
Dynamic Fibonacci Levels:
Fibonacci lines are plotted dynamically, extending them based on price movement, with the Fibonacci retracement drawn only when a trend is identified.
Background Color & Labels:
A background color is added to give a clear indication of the trend direction. Green for uptrend, red for downtrend. It makes it visually easier to understand the current market structure.
"Buy" or "Sell" labels are shown directly on the chart to mark possible entry points.
Strategy and Backtesting:
The script includes strategy commands (strategy.entry and strategy.exit), which allow for backtesting the strategy in TradingView.
Stop loss and take profit conditions are added (loss=100, profit=200), which can be adjusted according to your preferences.
Next Steps:
Test with different timeframes: Try changing the higher_tf to different timeframes (like "60" or "240") and see how it affects the trend detection.
Adjust Fibonacci settings: Modify how the Fibonacci levels are calculated or add more Fibonacci levels like 38.2%, 61.8%, etc.
Optimize Strategy Parameters: Fine-tune the entry/exit logic by adjusting stop loss, take profit, and other strategy parameters.
This should give you a robust foundation for creating advanced trend detection strategies
Profit Hunter @DaviddTechProfit Hunter @DaviddTech is an advanced multi-strategy indicator designed to give traders a significant edge in identifying high-probability trading opportunities across all market conditions. By combining the power of T3 adaptive moving averages, ADX-based trend strength analysis, SuperTrend trailing stops, and dynamic support/resistance detection, this indicator delivers a complete trading system in one powerful package.
## 📊 Recommended Usage
Timeframes: Most effective on 1H, 4H, and Daily charts for swing trading; 5M and 15M for day trading
Markets: Works across all markets including Forex, Crypto, Indices, and Stocks
Setup Guidelines: Look for T3 crossovers with strong ADX readings (>25) coinciding with breakout signals (yellow dots/red crosses) near key support/resistance levels for highest probability entries
## 🔥 Key Features:
### T3 Adaptive Trend Detection:
Utilizes premium T3 adaptive indicators instead of standard EMAs for superior smoothing and accuracy
Dynamic color-shifting cloud formation between fast and slow T3 lines reveals immediate trend direction
Proprietary transparency algorithm intensifies cloud colors during strong trends based on real-time ADX readings
### Advanced Support & Resistance Mapping:
Automatically identifies and marks key market structure levels during T3 crossovers
Dynamic horizontal level plotting with optional extension for monitoring future price interactions
Intelligent level validation - converts to dotted lines when price breaks through, maintaining visual clarity
### SuperTrend Trailing Stoploss System:
Professional-grade white trailing stop indicator adapts to market volatility using ATR calculations
Generates precise entry and exit signals with optional buy/sell labels at critical reversal points
Visual trend state highlighting for immediate assessment of current market position
### Breakout Detection & Confirmation:
Sophisticated dual-algorithm breakout system combining Bollinger Bands and Keltner Channels
Visual breakout alerts with yellow dots (bullish) and red crosses (bearish) for instant pattern recognition
Validates breakouts against T3 trend direction to minimize false signals
### Alpha Edge Color System:
Utilizes DaviddTech's signature color scheme with bullish green and bearish pink
Revolutionary transparency algorithm translates ADX readings into precise visual intensity
Higher ADX values produce more vivid colors, instantly communicating trend strength without additional indicators
## 💰 Trading Applications:
Alpha Discovery: Identify emerging trends before the majority of market participants
Precision Entry/Exit: Use SuperTrend signals combined with support/resistance levels for optimal trade execution
Risk Management: Set stops based on the white trailing stoploss line for mathematically-optimized protection
Trend Confirmation: Validate setups using the T3 cloud direction and ADX-based intensity
Breakout Trading: Capture explosive moves with confirmed Bollinger/Keltner breakout signals
Swing Position Management: Monitor extended support/resistance levels for multi-day positioning
## ✨ Strategy Example
As shown in the chart image, ideal entries occur when:
The T3 cloud turns bullish (green) or bearish (pink) with strong color intensity
A yellow dot (bullish) or red cross (bearish) breakout signal appears
Price respects the white SuperTrend line as support/resistance
The trade aligns with key horizontal support/resistance levels identified by the indicator
## 📝 Attribution
This indicator builds upon and enhances concepts from:
Market Trend Levels Detector by BigBeluga (support/resistance detection framework)
T3 indicator implementation by DaviddTech (adaptive moving average system)
Average Directional Index (ADX) methodology for trend strength measurement
Profit Hunter @DaviddTech represents the culmination of advanced technical analysis methodologies in one seamless system.
MTF Sentiment ProMTF Sentiment Pro - Advanced Multi-Timeframe Analysis
Purpose & Methodology
MTF Sentiment Pro provides traders with comprehensive market sentiment analysis across multiple timeframes. This indicator's unique innovation is its weighted scoring system that evaluates both technical indicators and volume metrics to determine market sentiment across customizable timeframes.
Unlike simple indicator overlays or basic multi-timeframe tools, this indicator:
1. Calculates sentiment using a proprietary weighted formula across 7 different timeframes
2. Incorporates volume confirmation to validate price movements (a critical element often overlooked)
3. Provides clear visualization of sentiment alignment between lower and higher timeframes
4. Uses majority-rule algorithms for overall sentiment determination (2/3 rule for LTF, 3/4 rule for HTF)
Technical Components & Integration
Each timeframe's sentiment score is derived from a combination of:
- **EMA**: Evaluates trend direction and price position relative to moving average
- **RSI**: Measures momentum with sensitivity to the 50-level for trend determination
- **MACD**: Assesses trend strength and momentum through histogram analysis
- **Bollinger Bands**: Determines price volatility and position relative to the mean
- **VWAP**: Provides volume-adjusted price reference
- **OBV**: Confirms price moves with cumulative volume analysis
What makes this combination powerful is how these components are integrated:
- Each indicator contributes a weighted value to the overall sentiment score
- User-definable weights allow customization based on strategy preferences
- Volume confirmation adds a critical dimension beyond basic price-only indicators
- Multi-timeframe analysis helps identify alignment/divergence across time horizons
Trading Applications & Limitations
This indicator works best for:
- Trend confirmation across multiple timeframes
- Identifying potential reversal zones where LTF and HTF sentiments diverge
- Entry/exit timing when paired with your primary strategy rules
- Market structure analysis across different time horizons
Note: While this indicator provides comprehensive sentiment analysis, it should be used as part of a complete trading strategy with proper risk management. No indicator can predict market movements with certainty.
Usage Instructions
1. Select appropriate timeframes for your trading style or use one of the included presets
2. Adjust indicator weights to match your analytical preferences
3. Look for timeframe alignment/divergence to identify potential opportunities
4. Use the overall LTF and HTF sentiment readings for broader market context
This indicator was developed to solve the challenge of efficiently analyzing sentiment across multiple timeframes while incorporating volume confirmation - something that would otherwise require multiple indicators and manual correlation.
3cfThis indicator identifies and signals the points of swing highs and swing lows on the price chart using an algorithm based on market structure. Local highs and lows are highlighted with a colored dot, making it easier to perform technical analysis and recognize trend reversals.
The indicator analyzes a predefined number of bars (e.g., 5 candles) to determine relative highs and lows:
Swing High (Local High) → The current candle has a higher high compared to the previous and subsequent candle.
Swing Low (Local Low) → The current candle has a lower low compared to the previous and subsequent candle.
When a candle meets one of these conditions, a visual dot is placed to indicate the potential reversal point.
Neon Momentum Waves StrategyIntroduction
The Neon Momentum Waves Strategy is a momentum-based indicator designed to help traders visualize potential shifts in market direction. It builds upon a MACD-style calculation while incorporating an enhanced visual representation of momentum waves. This approach may assist traders in identifying areas of increasing or decreasing momentum, potentially aligning with market trends or reversals.
How It Works
This strategy is based on a modified MACD (Moving Average Convergence Divergence) method, calculating the difference between two Exponential Moving Averages (EMAs). The momentum wave represents this difference, while an additional smoothing line (signal line) helps highlight potential momentum shifts.
Key Components:
Momentum Calculation:
Uses a fast EMA (12-period) and a slow EMA (26-period) to measure short-term and long-term momentum.
A signal line (20-period EMA of the MACD difference) smooths fluctuations.
The histogram (momentum wave) represents the divergence between the MACD value and the signal line.
Interpreting Momentum Changes:
Momentum Increasing: When the histogram rises above the zero line, it may indicate strengthening upward movement.
Momentum Decreasing: When the histogram moves below the zero line, it may signal a weakening trend or downward momentum.
Potential Exhaustion Points: Users can define custom threshold levels (default: ±10) to highlight when momentum is significantly strong or weak.
Visual Enhancements:
The neon glow effect is created by layering multiple plots with decreasing opacity, enhancing the clarity of momentum shifts.
Aqua-colored waves highlight upward momentum, while purple waves represent downward momentum.
Horizontal reference lines mark the zero line and user-defined thresholds to improve interpretability.
How It Differs from Traditional Indicators
Improved Visualization: Unlike standard MACD histograms, this approach provides clearer visual cues using a neon-style wave format.
Customizable Thresholds: Rather than relying solely on MACD crossovers, users can adjust sensitivity settings to better suit their trading style.
Momentum-Based Approach: The strategy is focused on visualizing shifts in momentum strength, rather than predicting price movements.
Potential Use Cases
Momentum Trend Awareness: Helps traders identify periods where momentum appears to be strengthening or fading.
Market Structure Analysis: May complement other indicators to assess whether price action aligns with momentum changes.
Flexible Timeframe Application: Can be used across different timeframes, depending on the trader’s strategy.
Important Considerations
This strategy is purely momentum-based and does not incorporate volume, fundamental factors, or price action confirmation.
Momentum shifts do not guarantee price direction changes—they should be considered alongside broader market context.
The strategy may perform differently in trending vs. ranging markets, so adjustments in sensitivity may be needed.
Risk management is essential—traders should apply proper stop-losses and position sizing techniques in line with their risk tolerance.
Conclusion
The Neon Momentum Waves Strategy provides a visually enhanced method of tracking momentum, allowing traders to observe potential changes in market strength. While not a predictive tool, it serves as a complementary indicator that may help traders in momentum-based decision-making. As with any technical tool, it should be used as part of a broader strategy that considers multiple factors in market analysis.
PRC-ALMA | QuantEdgeBIntroducing PRC-ALMA by QuantEdgeB
Overview
The PRC-ALMA (Percentile Adaptive ALMA) is an advanced dynamic trend and volatility filtering indicator that leverages the Arnaud Legoux Moving Average (ALMA) combined with Percentile Rank Filtering and Median Absolute Deviation (MAD) Bands. It is designed to enhance market structure clarity, detect breakout zones, and provide trade signals by dynamically adjusting its filtering based on recent price action.
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Key Features
1. 📈 Adaptive ALMA Smoothing:
- Uses ALMA for smoothing price action while reducing lag.
- Provides a more responsive moving average than traditional EMAs and SMAs.
2. 📊 Percentile Rank-Based Thresholds:
- Determines upper and lower regions using 75th and 25th percentile ranks.
- Allows for adaptive thresholding based on historical price movements.
3. 🎯 Median Absolute Deviation (MAD) Volatility Filtering:
- Filters out noise using robust statistical deviation measures.
- MAD Bands dynamically adjust based on volatility expansion and contraction.
4. 🔄 Dynamic Trade Signals:
- Generates long signals when price exceeds the upper threshold.
- Generates short signals when price drops below the lower threshold.
5. 🎨 Customizable Color Modes & Visual Enhancements:
- Choose between multiple color schemes to match trading preferences.
- Optional candlestick coloring to indicate market sentiment shifts.
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How It Works
1. ALMA Calculation:
- The indicator starts by computing the ALMA (Arnaud Legoux Moving Average) with a customizable length, offset, and sigma.
2. Percentile Rank Filtering:
- It then calculates the 75th and 25th percentile ranks over a selected period, determining dynamic levels for trend identification.
3. Volatility Adjustment Using Median Absolute Deviation (MAD):
- MAD is applied to filter noise and adapt the upper/lower bands based on market volatility.
- The higher the MAD multiplier, the wider the bands, allowing more price fluctuations before a signal triggers.
4. Entry & Exit Conditions:
- Long Entry: When price crosses above the upper percentile band + MAD filter.
- Short Entry: When price crosses below the lower percentile band - MAD filter.
5. Visual Enhancements:
- Dynamic band plotting with shading between percentile ranks.
- Candlestick coloring to visually indicate long/short sentiment shifts.
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Practical Applications
✅ Trend Following & Momentum Trading – Uses ALMA for trend smoothing and percentile-based breakouts.
✅ Mean Reversion Strategies – Adaptive MAD filtering ensures only significant deviations trigger signals.
✅ Multi-Timeframe Trading – Works on intraday, daily, and weekly timeframes based on user customization.
✅ Noise Reduction – Eliminates minor fluctuations while capturing meaningful market moves.
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🛠 Settings
-ALMA Length: 24 – Defines the smoothing period for the Arnaud Legoux Moving Average.
-ALMA Offset: 0.7 – Adjusts the shift factor, controlling responsiveness.
-ALMA Sigma: 4 – Determines the smoothing strength, balancing trend-following and noise reduction.
-Percentile Length: 21 – Lookback period for calculating percentile rank levels.
-Median Period: 21 – The period used for the Median Absolute Deviation (MAD) filter.
-Median Multiplier: 1.8 – Adjusts the sensitivity of the MAD filter, impacting how signals are generated.
-Color Mode: Strategy – Various visual themes available for better chart readability.
-Signal Label: Off - If turned off the indicator produced a Long or Cash signal when the trend changes.
📌 Conclusion
The PRC-ALMA | QuantEdgeB is an advanced valuation and signal generation tool that dynamically adjusts based on market conditions. By combining ALMA for trend smoothing, percentile rank thresholds, and MAD-based volatility filtering, it provides traders with a versatile indicator for momentum, breakout, and mean reversion strategies.
Key Takeaways:
✔ Smooth & Adaptive – ALMA ensures minimal lag while maintaining trend responsiveness.
✔ Dynamic Overbought/Oversold Zones – Adjusts to real-time market conditions using percentile-based bands.
✔ Volatility-Aware Filtering – Uses MAD to eliminate market noise, making signals more reliable.
✔ Customizable & Multi-Timeframe Ready – Works on various asset classes and timeframes with adjustable settings.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Liquidity Sweep Filter [AlgoAlpha]Unlock a deeper understanding of market liquidity with the Liquidity Sweep Filter by AlgoAlpha. This indicator identifies liquidity sweeps, highlighting key price levels where large liquidations have occurred. By visualizing major and minor liquidation events, traders can better anticipate potential reversals and market structure shifts, making this an essential tool for those trading in volatile conditions.
Key Features :
🔍 Liquidity Sweep Detection – Identifies and highlights areas where liquidity has been swept, distinguishing between major and minor liquidation events.
📊 Volume Profile Integration – Displays a volume profile overlay, helping traders spot high-activity price zones where the market is likely to react.
📈 Trend-Based Filtering – Utilizes an adaptive trend detection algorithm to refine liquidity sweeps based on market direction, reducing noise.
🎨 Customizable Visualization – Modify colors, thresholds, and display settings to tailor the indicator to your trading style.
🔔 Alerts for Liquidity Sweeps & Trend Changes – Stay ahead of the market by receiving alerts when significant liquidity events or trend shifts occur.
How to Use:
🛠 Add the Indicator : Add the Liquidity Sweep Filter to your chart and configure the settings based on your preferred sensitivity. Adjust the major sweep threshold to filter out smaller moves.
📊 Analyze Liquidity Zones and trend direction : Look for liquidation levels where large buy or sell stops have been triggered. Major sweeps indicate strong reactions, while minor sweeps show gradual liquidity absorption. You can also see which levels are high in liquidity by the transparency of the levels.
🔔 Set-Up Alerts : Use the in-built alerts so you don't miss a trading opportunity
How It Works :
The Liquidity Sweep Filter detects liquidity events by tracking swing highs and lows (defined as a pivot where neighboring candles are lower/higher than it) where traders are likely to have placed stop-loss orders. It evaluates volume and price action, marking areas where liquidity has been absorbed by the market. Additionally, the integrated trend filter ensures that only relevant liquidity sweeps are highlighted based on market direction, lows in an uptrend and highs in a downtrend. The trend filter works by calculating a basis, and defining trend shifts when the closing price crosses over the upper or lower bands.The included volume profile further enhances analysis by displaying key trading zones where price may react.
