ICT Liquidity Levels [TakingProphets]Overview
This indicator is designed to dynamically identify and display key liquidity levels—areas where market participants are likely to engage. By analyzing price swing points, it highlights potential support and resistance zones that can signal reversals or breakouts. The script distinguishes between buyside and sellside liquidity levels, presenting them with customizable visual cues and labels for immediate clarity.
How It Works
Swing Point Detection:
The indicator uses a pivot-based method (with a configurable “Base Swing Strength”) to detect swing highs and lows. Each detected swing is evaluated for its “swing size” (percentage price movement), and if it exceeds a user-defined threshold, the level is classified as major.
Level Creation and Classification:
Overview
Built on core ICT principles, this indicator identifies key liquidity zones—areas where market imbalances can lead to liquidity sweeps. By dynamically analyzing swing points, it offers traders a real-time view of where liquidity is clustering, allowing for a deeper understanding of market structure. 🚀
How It Works
Swing Point Detection 🔍
• Uses a pivot-based method with a configurable “Base Swing Strength” to detect significant price swings.
• Calculates the swing size (percentage change) to flag zones that exceed the “Major Level Threshold” as major liquidity zones.
Level Creation & Classification 🛠️
• Buyside Liquidity Levels (BSL):
Identified from swing highs, marking zones where buying liquidity clusters.
• Sellside Liquidity Levels (SSL):
Identified from swing lows, highlighting zones of concentrated selling liquidity.
• Each zone is stored with its price, bar index, and classification (major or standard) before being drawn as a horizontal line on the chart.
Dynamic Level Management 🔄
• Extension: Liquidity lines automatically extend from their detection point to the current bar.
• Consolidation: When levels are close in price, the script merges them—updating labels (e.g., “REQH” or “REQL”) to denote unified liquidity zones.
• Traded-Through Detection: Adjusts or removes levels if the market moves beyond them, based on your settings.
• Age-Based Cleanup: Inactive zones are automatically removed after a set number of bars to maintain clarity.
Customization Options ⚙️
Visual Settings:
• Choose from solid, dashed, or dotted line styles and adjust line width.
• Option to display labels with customizable placement (left or right) for optimal clarity.
Color & Opacity:
• Set distinct colors for buyside and sellside liquidity zones.
• Configure opacity for zones that have been traded through, keeping them visible yet de-emphasized.
Detection & Cleanup Parameters:
• Adjust “Base Swing Strength” to control pivot detection sensitivity.
• Set the “Major Level Threshold %” to filter for significant liquidity zones.
• Decide whether to retain or remove zones once price moves through them.
• Define how many bars should pass before inactive zones are automatically deleted.
How to Use 🚀
Apply the Indicator:
Simply add the script to your chart—it automatically detects and marks key liquidity zones based on recent price action.
Adjust Inputs:
Fine-tune parameters like swing strength, threshold percentages, and visual settings to match the asset’s characteristics and your trading strategy.
Interpret the Visuals:
• Major Liquidity Zones:
Highlighted with thicker lines and distinct labels (e.g., “Major BSL/SSL”), indicating areas of heightened liquidity concentration.
• Consolidated Zones:
Merged labels (e.g., “REQH/REQL”) denote unified liquidity zones where clustering is significant.
• Traded-Through Zones:
Changes in opacity signal that the market has moved beyond a previously identified liquidity zone.
Underlying ICT Concepts 💡
Liquidity Pools & Sweeps:
Focused on identifying where liquidity is concentrated, the indicator aligns with ICT methodologies that highlight zones crucial for liquidity sweeps.
Pivot Analysis for Liquidity:
Enhances traditional pivot detection to spotlight liquidity clusters, providing a deeper insight into market structure.
Real-Time Adaptation:
With continuous updates and built-in cleanup, the indicator ensures that liquidity zones accurately reflect current market conditions.
在腳本中搜尋"zone"
Liquidity Trap Detector (LTD)The Liquidity Trap Detector is an advanced trading tool designed to identify liquidity zones and potential traps set by institutional players. It provides traders with a comprehensive framework to align with smart money movements, helping them avoid common retail pitfalls such as bull and bear traps.
The indicator focuses on detecting liquidity sweeps, breaker blocks, and areas of institutional accumulation/distribution. It integrates multiple technical analysis methods to offer high-probability signals and insights into how liquidity dynamics unfold in the market.
Note : This indicator is not designed for beginners; it is intended for traders who already have a solid understanding of trading fundamentals. It is tailored for individuals who are familiar with concepts like liquidity, order blocks, and traps. Traders with at least 6 months to 1 year of trading experience will fully appreciate the power and potential of this indicator, as they will have the necessary knowledge to leverage its features effectively. Beginners may find it challenging to grasp the advanced concepts embedded in this tool.
Why Combine These Elements?
The components of the Liquidity Trap Detector are carefully chosen to address the core challenges of identifying institutional activity and liquidity traps. Here’s why each element is included and how they work together:
1. Order Blocks:
• Purpose: Identify zones where large institutional players accumulate or distribute positions.
• Role in the Indicator: These zones act as primary liquidity areas, where price is likely to reverse or consolidate due to significant order flow.
2. Breaker Blocks:
• Purpose: Highlight areas where liquidity has been swept, leading to potential price reversals or continuations.
• Role in the Indicator: Confirms whether a liquidity trap has occurred and provides actionable levels for entry or exit.
3. ATR-Based Volatility Zones:
• Purpose: Filter signals based on market volatility to ensure trades align with statistically significant price movements.
• Role in the Indicator: Defines dynamic support and resistance zones, improving the accuracy of signal generation.
4. Volume Delta:
• Purpose: Measure the imbalance between aggressive buyers and sellers, often indicating institutional activity.
• Role in the Indicator: Validates whether a liquidity trap is backed by smart money absorption or retail-driven momentum.
5. Trend Confirmation (EMA):
• Purpose: Align liquidity trap signals with the broader market trend, reducing false positives.
• Role in the Indicator: Ensures trades are executed in the direction of the prevailing trend.
What Makes It Unique?
1. Gen 1 Liquidity Zones and Traps:
• The indicator identifies Gen 1 Liquidity Zones, which represent the first areas where liquidity is accumulated or swept. While these zones often lead to reversals, they can sometimes fail, resulting in continuation moves. The indicator highlights these scenarios, helping traders adapt.
• For example, a bull trap identified in a Gen 1 Zone may see price move higher after an initial red candle, completing a secondary liquidity sweep before reversing.
2. Multi-Layer Signal Validation:
• Signals are only generated when liquidity, volume, trend, and volatility align. This ensures high-probability setups and reduces noise in choppy markets.
3. Dynamic Adaptability:
• ATR-based zones and volume delta filtering allow the indicator to adapt to different market conditions, from trending to range-bound environments.
4. Institutional Insights:
• By focusing on liquidity sweeps, order blocks, and volume imbalances, the indicator helps traders align with institutional strategies rather than retail behavior.
How It Works
The Liquidity Trap Detector uses a step-by-step process to identify and validate liquidity traps:
1. Identifying Liquidity Zones:
• Order Blocks: Mark key zones of institutional activity where price is likely to reverse.
• Breaker Blocks: Highlight areas where liquidity sweeps have occurred, signaling potential traps.
2. Filtering with Volatility (ATR):
• ATR defines dynamic support and resistance zones, ensuring signals are only generated near significant price levels.
3. Validating Traps with Volume Delta:
• Volume delta shows whether liquidity sweeps are backed by aggressive buying/selling from institutions, confirming the trap’s validity.
4. Aligning with Market Trends:
• EMA ensures signals align with the broader trend to reduce false positives.
5. Monitoring Gen 1 Liquidity Zones:
• The indicator highlights Gen 1 Liquidity Zones where price may initially reverse or sweep further before a true reversal. Traders are alerted to potential continuation scenarios if volume or momentum suggests unmet liquidity above/below the zone.
How to Use It
Buy Signal:
• Triggered when:
• Price sweeps below an order block and forms a breaker block, indicating a liquidity trap.
• Volume delta confirms aggressive selling absorption.
• ATR volatility zone supports the reversal.
• EMA confirms a bullish trend.
• Action: Enter a Buy trade and set:
• Stop Loss (SL): Below the order block.
• Take Profit (TP): Near the next resistance or liquidity zone.
Sell Signal:
• Triggered when:
• Price sweeps above an order block and forms a breaker block, indicating a liquidity trap.
• Volume delta confirms aggressive buying absorption.
• ATR volatility zone supports the reversal.
• EMA confirms a bearish trend.
• Action: Enter a Sell trade and set:
• SL: Above the order block.
• TP: Near the next support or liquidity zone.
Timeframes:
• Best suited for scalping and intraday trading on lower timeframes (5m, 15m, 1H).
• Can also be applied to swing trading on higher timeframes.
Example Scenarios:
1. Bull Trap in a Gen 1 Zone:
• Price sweeps above a resistance order block, forms a breaker block, and reverses sharply. However, if momentum persists, price may continue higher after a minor pullback. The indicator helps traders anticipate this by monitoring volume and trend shifts.
2. Bear Trap with Secondary Sweep:
• Price sweeps below a support order block but fails to reverse immediately, instead forming a secondary liquidity sweep before turning bullish. The indicator highlights both scenarios, allowing for flexible trade management.
Why Use It?
The Liquidity Trap Detector offers:
1. Precision: Combines multiple filters to identify institutional liquidity traps with high accuracy.
2. Adaptability: Works across trending and range-bound markets.
3. Smart Money Alignment: Helps traders avoid retail traps by focusing on liquidity sweeps and institutional behavior.
Supply and Demand Plus [tambangEA]The Supply and Demand Plus is an advanced version of the highly-regarded Supply and Demand indicator
Designed to offer additional functionality for professional traders. Building on the core features of the original script, the "Plus" version incorporates enhanced zone selection capabilities and multi-timeframe Exponential Moving Averages (EMAs). This makes it a versatile tool for those who seek to refine their trading strategies using supply and demand principles while integrating trend-following techniques.
🔹 New Capabilities in Supply and Demand Plus
1. Customizable Zone Selection:
Users can now choose which specific zones to display on the chart:
Continuation Trader
-Rally-Base-Rally (RBR): Bullish continuation zones.
-Drop-Base-Drop (DBD): Bearish continuation zones.
Contrarian Trader
-Drop-Base-Rally (DBR): Bullish reversal zones.
-Rally-Base-Drop (RBD): Bearish reversal zones.
This feature allows traders to filter the zones relevant to their strategy, reducing chart clutter and enhancing focus.
2. Multi-Timeframe EMAs:
🔹 The Meeting Zone: "Base"
-The meeting zone is where supply meets demand, often referred to as the equilibrium price range. In this range:
-Sellers are willing to sell at prices buyers are willing to pay.
-Trading volume is usually higher as transactions occur more frequently.
-On the candle chart, this area may appear as sideways movement (consolidation) or regions with balanced candle sizes and wicks, signaling relative agreement between buyers and sellers.
🔹 Key Observations in Candle Charts
-Breakouts: When prices break out of a meeting zone, they indicate that one side (buyers or sellers) has gained significant control. This can lead to new supply or demand zones.
-Retests: Often, prices return to test these zones (called pullbacks) before continuing in the dominant direction. Retests confirm the strength of a supply or demand zone.
-Volume Spikes: High trading volumes near these zones signify active participation and can validate the importance of the zone.
The indicator includes five Exponential Moving Averages (EMAs) that can be plotted across different timeframes simultaneously. This enables traders to:
Track trend strength and direction across multiple timeframes.
Identify dynamic support and resistance levels.
Combine EMA signals with supply and demand zones for confluence-based trading decisions.
EMA Settings:
Fully customizable periods (e.g., EMA 20, 50, 100, etc.).
Adjustable colors and thickness for each EMA.
Multi-timeframe capability to analyze higher or lower timeframes without changing the chart.
🔹 How It Works :
The script works through a series of processes:
1.Zone Identification:
-Uses historical price patterns and pivot levels to map out supply and demand zones.
-Zones dynamically adjust to reflect market conditions, staying relevant to current price action.
-The color of the Zone can be set individually
2.Volume and Market Context:
-Integrates volume analysis to filter out weaker zones.
-Highlights zones with confluence between high volume and price rejections, signaling areas of strong institutional interest.
3.Trend Integration:
-Employs proprietary logic to assess market trends, ensuring that traders only act on zones aligned with broader momentum.
-This feature minimizes counter-trend trades, which are inherently riskier.
4.User Customization:
-Fully customizable zone sensitivity, timeframe settings, and visual preferences allow traders to adapt the tool to their strategy.
Four EMAs in sequence from Chart EMAs to Daily EMA are indicators of a strong trend
The "Base" zone of RBR and DBD supported by Daily EMAs within the zone,
is a strong meeting of buyers and sellers in the past.
Zone can be calibrated how many percent comparison of open close candle to high low candle
the number of candles in Base can be set to the maximum number of candles
🔹 Utility for Traders
The indicator provides a clear roadmap for traders by:
-Identifying high-probability trade zones.
-Confirming entries with volume and trend data.
-Offering actionable insights in both trending and ranging markets.
🔹 Why It Stands Out
Unlike generic supply and demand indicators or trend-following tools, Supply and Demand Plus incorporates an original approach by:
-Seamlessly combining zone identification, volume analysis, and trend confirmation into a single cohesive tool.
-Adapting dynamically to changing market conditions.
-Supporting advanced traders with MTFA, while remaining accessible to beginners with its intuitive design.
Example : Continuation Trader + Retests
The idea is when the "Base" zone occurs, then there is a meeting between buyers and sellers with a large enough volume and will leave a trace in the past.
In accordance with one of the principles in Dow Theory, namely History Repeats Itself, the price will return to the "Base" zone, before continuing the trend
Before
After
🔹 Update and Versioning
This script is an evolution of previous Supply and Demand tools, incorporating valuable user feedback and innovative features. All future updates, including improvements and new functionalities, will be integrated within this script under the Update feature, ensuring continuity and ease of access for users.
🔹 Conclusion
We believe that success lies in the association of the user with the indicator, opposed to many traders who have the perspective that the indicator itself can make them become profitable. The reality is much more complicated than that.
The aim is to provide an indicator comprehensive, customizable, and intuitive enough that any trader can be led to understand this truth and develop an actionable perspective of technical indicators as support tools for decision making.
🔹 DISCLAIMER/RISK WARNING
Trading foreign exchange on margin carries a high level of risk, and may not be suitable for all investors.
All content, tools, scripts, articles, & education provided by are purely for informational & educational purposes only. Past performance does not guarantee future results.
Liquidity Pools [LuxAlgo]The Liquidity Pools indicator identifies and displays estimated liquidity pools on the chart by analyzing high and low wicked price areas, along with the amount, and frequency of visits to each zone.
🔶 USAGE
Liquidity Pools are areas where smaller participants are likely to place stop-limit orders to manage risks at reasonable swing points. These zones attract institutional traders who use the pending orders as liquidity to enter larger positions, aiming to influence price movements. By monitoring these zones, traders can anticipate market movements and potentially benefit from these dynamics.
Beyond general liquidity theory, identifying zones consistently visited by price aids in using them as support and resistance zones. By analyzing these areas, we can assess how effectively participants enter or exit these zones, helping to gauge their importance.
In the screenshots below, we will explore both sides of the same chart in more detail to display how each zone could be viewed from a bullish and bearish perspective.
Bullish Zones Example:
Bearish Zones Example:
🔶 DETAILS
The method behind this indicator focuses on identifying a swing point and tracking future interactions with it. It adaptively identifies high and low "potential zones". These zones are monitored over time; if a zone meets the user-defined criteria, the script marks and displays these zones on the chart.
🔹 Identification
The method to identify Liquidity Pools in this indicator revolves around 3 main parameters. By utilizing these settings, the indicator can be tailored to produce zones that fit the specific strategic needs of each trader.
Zone Identification Parameters
Zone Contact Amount: This setting determines the number of times each zone must be in contact with the price (and bought or sold out of) before being identified by the indicator as a Liquidity Pool.
For example: When a zone is first displayed, it is considered as having been reached 1 time. When the zone is re-tested for the first time, this is considered the 2nd contact, since the price has seen the zone a total of 2 times.
Bars Required Between Each Contact: This is used to rule out (or in) consecutive candles reaching each zone from the calculation, adding a separation length between zone contact points to refine the zones produced.
For example: When set to "2", the first contact point (first re-test) will be ignored by the script if it is not at least 2 bars away from the initial zone proposal point.
Confirmation Bars: After a zone has reached the desired Contact Amount, this setting will cause the script to wait a specified number of bars before identifying a zone. While this might initially seem counterintuitive, by waiting, we are able to watch the market's reaction to the proposed zone and respond accordingly. If the price were to continue through the potential liquidity zone Immediately, it would not be logical to consider this area as a valid Liquidity Pool.
Displayed in this screenshot, you will see the specific points we are looking for in order to identify these zones.
🔹 Display
After a Liquidity Pool is identified, its boundary line is extended to the current price to keep it in view for reference. This extension will continue until the zone is mitigated (price has closed above or below the zone), after which it will stop extending.
Candles can optionally be colored when returning to the most recent Liquidity Pool if it is still unmitigated, and will only color after the zone is displayed on the chart. Because of this, if a candle is colored within a zone, then its color comes from being inside a previously unmitigated zone.
🔹 Volume
Each time a candle overlaps an Unmitigated Zone, a percentage of its volume will be accumulated to the total for each specific zone. The volume total is displayed on the right end of the extended boundary lines.
This volume data could help to determine the importance of specific zones based on the amount of volume traded within.
Note: This volume is fractional to the percentage of candles that are contained within the zone. If a candle is 50% within a zone, The zone will receive 50% of the candle's volume added to its current total.
🔶 SETTINGS
See above for a more detailed explanation of the "Zone Identification" parameters.
Zone Contact Amount: The number of times the price must bounce from this zone before considering it as a liquidity pool.
Bars Required Between Each Contact: The number of bars to wait before checking for another zone contact.
Confirmation Bars: The number of bars to wait before identifying a zone to confirm validity.
Display Volume Labels: Toggles the display for the volume readout for each Liquidity Pool.
Fill Candles Inside Zones: Toggles the display of colored candles within Liquidity Pools.
Money Flow Index Crossover IndicatorThe "Money Flow Index Crossover Indicator" is a specialized technical analysis tool designed to assist traders by providing a clear visualization of potential buy and sell signals based on the Money Flow Index (MFI) and its smoothed moving average (SMA). This indicator delineates overbought and oversold zones, offering valuable insights into market dynamics. It operates as an oscillator on a separate pane, helping traders identify bullish and bearish market conditions with greater precision. By incorporating k-Nearest Neighbor (KNN) machine learning techniques, this indicator enhances the reliability and accuracy of the signals provided.
Originality and Usefulness:
This script is not just a simple mashup of existing indicators but integrates multiple components to create a unique and comprehensive analysis tool. The combined information from the MFI, its smoothed moving average, and the KNN machine learning techniques influence the form and accuracy of the Money Flow Index Average line and the Smoothed Money Flow Index line giving a visually helpful representation of overbought and oversold conditions. These lines are displayed in an oscillator style crossover, allowing users to visualize potential buy and sell zones for setting up potential signals. The user can adjust various settings of these tools behind the code to fine-tune the behavior and sensitivity of these lines. This integration provides a more robust and insightful trading tool that can adapt to different market conditions and trading styles.
How It Works:
Inputs:
MFI Settings:
Show Signals: Allows users to toggle the display of MFI and SMA crossing signals, which are critical for identifying potential market reversals.
Plot Amount: Determines the number of plots in the heat map, ranging from 2 to 28, enabling customization based on user preference.
Source: Defines the data source for MFI calculations, typically set to OHLC4 for a balanced view of price movements.
Smooth Initial MFI Length: Specifies the smoothing length for the initial MFI calculations to reduce noise and enhance signal clarity.
MFI SMA Length: Sets the length for the SMA used to smooth the MFI average, providing a more stable reference line.
Machine Learning Settings:
Use KInSource: Option to average MFI data by adding a lookback to the source, improving the accuracy of historical comparisons.
KNN Distance Requirement: Defines the distance calculation method for KNN (Max, Min, Both) to refine the data filtering process.
Machine Learning Length: Specifies the amount of machine learning data stored for smoothing results, balancing between responsiveness and stability.
KNN Length: Sets the number of KNN used to calculate the allowable distance range, enhancing the precision of the machine learning model.
Fast and Slow Lengths: Defines the lengths for fast and slow MFI calculations, allowing the indicator to capture different market dynamics.
Smoothing Length: Determines the length at which MFI calculations start for a more smoothed result, reducing false signals.
Variables and Functions:
KNN Function: Filters machine learning data to calculate valid distances based on defined criteria, ensuring more accurate MFI averages.
MFI Calculations: Computes both fast and slow MFI values, applies smoothing, and stores them for KNN processing to refine signal generation.
MFI KNN Calculation: Uses the KNN function to calculate the machine learning average of MFI values, enhancing signal reliability.
MFI Average and SMA: Calculates the average and smoothed MFI values, which are crucial for determining crossover signals.
Calculations:
MFI Values: Calculates current fast and slow MFI values and applies smoothing to reduce market noise.
Storage Arrays: Stores MFI data in arrays for KNN processing, enabling historical comparison and pattern recognition.
KNN Processing: Computes the machine learning average of MFI values using the KNN function, improving the robustness of signals.
MFI Average: Scales the MFI average to fit the heat map and calculates the smoothed SMA, providing a clear visual representation of trends.
Crossover Signals: Identifies bullish (MFI crossing above SMA) and bearish (MFI crossing below SMA) signals, which are key for making trading decisions.
Plots and Visuals:
MFI Average and SMA Lines: Plots the MFI average and smoothed SMA on the chart, allowing traders to easily visualize market trends and potential reversals.
Zones: Defines and plots overbought, neutral, and oversold zones for easy visualization. The recommended settings for these zones are:
Overbought Zone: Level set to approximately 24.6, indicating a potential market top.
Neutral Zone: Level set to 14, representing a balanced market condition.
Oversold Zone: Level set to 5.4, signaling a potential market bottom.
Crossover Marks: Plots circles on the chart to indicate bullish and bearish crossover signals, making it easier to spot entry and exit points.
Visual Alerts:
Bullish and Bearish Alerts: one can see overbought and oversold conditions and up alert conditions for bullish and bearish MFI crossover signals, enabling traders to have access to visual cues when these events are on trajectory to occur and, if they occur, act promptly with the visual representation of its zones.
Why It's Helpful:
The "Money Flow Index Crossover Indicator" provides traders with a sophisticated tool to identify potential buy and sell conditions based on the combined information of the MFI and its smoothed moving average. The KNN machine learning techniques enhance the accuracy of this indicator's clear visual representation of overbought, neutral, and oversold zones. This combination of data represented on the chart helps traders make informed decisions about market conditions. This indicator is particularly useful for traders looking to refine their entry and exit points by leveraging advanced data analysis in respect to overbought and oversold conditions.
Disclaimer:
This indicator is intended to assist traders in making informed decisions based on technical analysis. However, it is not a guarantee of future performance and should be used in conjunction with other analysis techniques and risk management practices. Past performance is not indicative of future results, and traders should exercise caution and perform their own due diligence before making any trading decisions.
Money Flow Profile [LuxAlgo]The Money Flow Profile is a charting tool that measures the traded volume or the money flow at all price levels on the market over a specified time period and highlights the relationship between the price of a given asset and the willingness of traders to either buy or sell it, allowing traders to reveal dominant and/or significant price levels and to analyze the trading activity of a particular user-selected range.
This tool combines a volume/money flow profile, a sentiment profile, and price levels, where the right side of the profile highlights the distribution of the traded activity/money flow at different price levels, the left side of the profile highlights the market sentiment at those price levels, and in the middle the price levels.
🔶 USAGE
A volume/money flow profile is an advanced charting tool that displays the traded volume/money flow at different price levels over a specific period. It helps traders visualize where the majority of trading activity/money flow has occurred.
A sentiment profile is a difference between buy and sell volume/money flow aiming to highlight the sentiment/dominance at specific price levels.
Each row of the profile presents figures on volume and money flow specific to price levels.
High volume/money flow nodes indicate areas of high activity and are likely to act as support or resistance in the future. They attract price and try to hold it there. Conversely, low-volume nodes are areas with low trading activity, that are less subject to get revisited by the price. The market often bounces right over these levels, not staying for long. The "Profile Heatmap" option of the script helps to better emphasize the trading activity within each areas.
By measuring the traded activity at each price level the script presents an ability to highlight the consolidation zones, in other words, highlights accumulation and distribution zones. When the price moves toward one end of the consolidation and volume pick up, it can foreshadow a potential breakout.
Level of Significance, Point of Control, Highest Sentiment Zone, and Profile Price levels are some of the other profile-related options available with the script.
🔶 SETTINGS
The script takes into account user-defined parameters and plots the profiles, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
🔹 Profile Generic Settings
Lookback Length / Fixed Range: Sets the lookback length.
Profile Source: Sets the profile source, Volume, or Money Flow.
🔹 Profile Presentation Settings
Volume/Money Flow Profile: Toggles the visibility of the Volume/Money Flow Profile.
High Traded Nodes: Threshold and Color option for high traded nodes.
Average Traded Nodes: Color option for average traded nodes.
Low Traded Nodes: Threshold and Color option for low traded nodes.
🔹 Sentiment Profile Settings
Sentiment Profile: Toggles the visibility of the Sentiment Profile.
Sentiment Polarity Method: Sets the method used to calculate the up/down volume/money flow.
Bullish Nodes: Color option for Bullish Nodes.
Bearish Nodes: Color option for Bearish Nodes.
🔹 Profile Heatmap Settings
Profile Heatmap: Toggles the visibility of the profile heatmap.
Heatmap Source: Sets the source of the profile heatmap, Volume/Money Flow Profile, or Sentiment Profile.
Heatmap Transparency: Control the transparency of the profile heatmap.
🔹 Other Presentation Settings
Level of Significance: Toggles the visibility of the level of significance line/zone.
Consolidation Zones: Toggles the visibility of the consolidation zones.
Consolidation Threshold, Color: Sets the threshold value and zone color.
Highest Sentiment Zone: Toggles the visibility of the highest bullish or bearish sentiment zone.
Profile Price Levels, Color, Size: Toggles the visibility of the profile price levels, and sets the color and the size of the level labels.
Profile Range Background Fill: Toggles the visibility of the profiles range.
🔹 Other Settings
Number of Rows: Specify how many rows each profile histogram will have.
Profile Width %: Alters the width of the rows in the histogram, relative to the profile length
Profile Text Size: Alters the size of the text. Setting to Auto will keep the text within the box limits.
Profile Horizontal Offset: Enables to move profile in the horizontal axis.
🔶 RELATED SCRIPTS
Liquidity-Sentiment-Profile
Swing-Volume-Profiles
For more and other conceptual scripts you are kindly invited to visit LuxAlgo-Scripts .
Demand and Supply MTF with SMC By StockFusion - 3.0Demand and Supply MTF with SMC By StockFusion - 3.0 - Indicator Description
Concepts
What is Supply & Demand?
Supply and Demand are foundational forces driving market dynamics. Demand reflects the presence of buyers willing to purchase a security, while Supply indicates sellers offering it for sale. These forces create zones on the chart where price tends to react—either reversing or continuing—based on the balance between buying and selling pressure. This indicator identifies these zones using price action patterns, focusing on impulsive moves (strong directional momentum) and retracement phases (consolidation or pullbacks).
What is SMC (Smart Money Concepts)?
Smart Money Concepts (SMC) revolve around tracking the behavior of institutional traders, often called "smart money." By analyzing price action, market structure shifts, and liquidity, SMC helps retail traders align with the moves of larger players. Key SMC signals like Change of Character (CHoCH), Break of Structure (BOS), liquidity sweeps, and swing points provide insights into potential trend changes or continuations.
Overview
Demand and Supply MTF with SMC By StockFusion - 3.0 is a sophisticated, price action-based indicator designed to plot real-time Supply and Demand zones across multiple timeframes (MTF) directly on your chart. It goes beyond simple zone plotting by integrating Smart Money Concepts (SMC) and Inside Candle detection, offering traders a powerful tool for spotting high-probability reversal or continuation areas. The indicator highlights zones with customizable boxes, labels them for clarity, and provides additional SMC-driven insights such as CHoCH, BOS, liquidity sweeps, and swing high/low levels. This combination of multi-timeframe analysis, SMC, and consolidation detection creates a unique and highly practical tool for traders seeking an edge in the markets.
How It Works
The indicator operates by analyzing price action across two user-defined timeframes (Higher TF and Lower TF) to detect Supply and Demand zones. It identifies these zones based on specific price patterns:
Rally Base Rally (RBR): A bullish impulsive move, followed by consolidation, then another bullish move—indicating a Demand zone.
Drop Base Drop (DBD): A bearish impulsive move, consolidation, then another bearish move—indicating a Supply zone.
Drop Base Rally (DBR): A bearish move, consolidation, then a bullish reversal—indicating a Demand zone.
Rally Base Drop (RBD): A bullish move, consolidation, then a bearish reversal—indicating a Supply zone.
These patterns are detected using criteria like explosive candle movements (based on range-to-body ratios and ATR multipliers), volume thresholds, and base candle counts (configurable from 1 to 5 candles). Zones are plotted as horizontal bands, with Higher TF zones taking precedence to avoid overlap with Lower TF zones, ensuring clarity on the chart.
Smart Money Integration:
The indicator enhances zone analysis with SMC features:
CHoCH (Change of Character): Detects shifts in market sentiment by comparing price action against recent swing highs/lows over a customizable period.
BOS (Break of Structure): Identifies when price breaks key structural levels, signaling a potential trend shift.
Liquidity Sweeps: Marks areas where price briefly exceeds swing points before reversing, often targeting stop-loss orders.
Swings: Highlights significant swing highs and lows to track momentum and structure.
Inside Candle Detection:
Inside Candles—smaller candles contained within the range of a prior candle—are plotted to indicate consolidation or indecision, often preceding breakouts. Optional lines can be drawn around these candles for better visibility.
Key Features & How to Use
Real-Time Zone Plotting:
Automatically identifies and marks Supply and Demand zones as they form, using the RBR, RBD, DBR, and DBD patterns. Zones are color-coded (e.g., green for Demand, red for Supply) and can extend rightward for visibility.
Multi-Timeframe Analysis:
Operates on all timeframes, with separate settings for Higher TF (e.g., weekly) and Lower TF (e.g., daily) zones. This allows traders to see both macro and micro levels of market structure.
Automatic Detection:
No manual input is required—zones are plotted based on price action, volume, and SMA trends. Live candle volume is displayed for context.
Tested Zone Management:
Optionally removes zones after they’re tested (price revisits and reverses) or after a second leg-out move, keeping the chart uncluttered.
Customizable Display:
Choose which patterns to detect (RBR, RBD, etc.).
Adjust base candle counts (1-5), explosive candle parameters (Range-Body Ratio, Multiplier), and quality filters (SMA length, Volume Multiplier).
Customize colors for zones, borders, labels, and candles (boring, bullish explosive, bearish explosive).
Enable/disable labels and pattern names on boxes.
Alerts:
Set notifications for zone formation, CHoCH, BOS, and liquidity sweeps on your chosen timeframe.
Inside Candle Visualization:
Highlights consolidation phases with color-coded candles and optional lines, aiding breakout anticipation.
SMC Insights:
Visualizes CHoCH, BOS, liquidity sweeps, and swings with distinct lines and labels, helping traders follow institutional moves.
How to Use It:
Approaching Zones: When price nears a Supply or Demand zone, watch for reversal patterns (e.g., pin bars, engulfing candles) or SMC signals (e.g., BOS, liquidity sweeps) to confirm entries. Combine with your tested strategy—don’t trade zones blindly.
SMC Signals: Use CHoCH for early trend reversal clues, BOS for trend continuation, and liquidity sweeps to gauge manipulation.
Inside Candles: Monitor for breakouts after consolidation periods marked by Inside Candles.
Why It’s Unique & Valuable
This indicator stands out by blending multi-timeframe Supply and Demand analysis with Smart Money Concepts and Inside Candle detection into a single, cohesive tool. While it uses classic elements like price action and volume, its proprietary logic—combining specific pattern detection (RBR, RBD, DBR, DBD), SMC signals (CHoCH, BOS, etc.), and consolidation tracking—offers a fresh approach. Unlike generic trend-following or scalping tools, it provides actionable insights into market structure and institutional behavior, making it worth considering for traders willing to invest in a premium tool. The flexibility of customization and MTF functionality further enhances its utility across trading styles, from scalping to swing trading.
Supply and DemandOur Indicator “Supply and Demand” offers an insight into the structure of any given Instrument applied to. Understanding Supply and Demand is essential for using this Indicator. If you are familiar with the concept, then you will most likely find this indicator useful in your trading. If you are unfamiliar with the concept and are interested then continue reading a “Brief Concept of Supply and Demand” at the end of the description, where we will provide some informational Links.
This description will provide a High Level description of how our Indicator identifies and visualizes Supply and Demand, followed by how to use the Indicator in your trading. At the end we would like to introduce our team and experience.
High Level Description of “Supply and Demand”:
Our indicator searches for price zones where the current Instrument has experienced a significant liquidity imbalance in the recent relative past. Our indicator uses a Multi timeframe approach to identify these areas. These Zones will be referred to as “Active Zones” from now on.
When Price exceeds the outer boundary of the Active Zones, then this Supply or Demand Zone will be identified as “Expired”, and the zone is no longer in play. These Zones will be referred to as “Expired Zones” from now on.
Visualisation:
What do the Boxes mean:
Our Indicator visualises active Supply and Demand Zones. Supply zones are red and Demand Zones are green. Furthermore, our indicator shows a brief history of Expired Supply and Demand Zones. These Zones have the same color as the active Supply and Demand Zones, just with a higher color transparency so that you can distinguish between active and Expired Zones.
The boxes start at the time where the supply/demand has occurred historically, providing a simple method to review the Market reaction to the historic supply/demand event.
History:
Due to the high calculation effort, the history is limited to 20 Zones in total. All zones prior to that will not be displayed.
Important:
All Zones will not be repainted. That being said, once our indicator has started displaying a Zone, then it will be visible until it exceeds the 20 Zone history limit and “falls of” the chart.
How to use it:
Approaching an Active Supply/Demand Zone:
When price is approaching or entering an active Supply/Demand Zone, look for reversal patterns you are familiar with. It is important that you have a tested method behind your entry and exit strategy. Please note, that the indicator itself just presents price areas where there is a potential for a price reversal, and that these levels should not be traded blindly.
Expired Supply/Demand Zones:
Expired Supply and Demand Zones are mainly just to provide a small History of Supply and Demand Zones to you. There are more advanced concepts for also using Expired Supply and Demand Zones in your Trading, but this is not the focus of this Indicator.
Time frame:
This indicator is programmed to be used on all Timeframes.
Instruments:
This indicator aims to visualize areas of where Market price has the potential to reversal, hence this is a mean reverting Indicator.
Taking this statement to account, it is recommended to apply this Indicator to Instruments with a mean reverting character.
Examples of mean reverting markets could be for example …
...all FOREX instruments, as FOREX is considered a mean reverting Market.
...an instrument that is in a consolidation, or which you are expecting to enter a period of consolidation.
Indicator settings and configuration:
The Indicator has no functional parameters, to reduce User error, and only has visual parameters. The color of the Supply and Demand Zones can be tailored to your liking.
Brief concept of Supply and Demand:
Supply and Demand is a concept that has been around for a very long time. Following links are helpful to get a grasp of the concept:
en.wikipedia.org www.investopedia.com
www.investopedia.com
Our Team:
We are a team of 3 Traders with a combined experience of 40 years. We are using our experiences from the market to create Indicators to Visualize the most relevant Patterns to us in our trading today. Our goal is to reconstruct these patterns to match our understanding of the market and to simplify the process of creating reproducible trading Strategies.
Timeframe Resistance Evaluation And Detection - CoffeeKillerTREAD - Timeframe Resistance Evaluation And Detection Guide
🔔 Important Technical Limitation 🔔
**This indicator does NOT fetch true higher timeframe data.** Instead, it simulates higher timeframe levels by aggregating data from your current chart timeframe. This means:
- Results will vary depending on what chart timeframe you're viewing
- Levels may not match actual higher timeframe candle highs/lows
- You might miss important wicks or gaps that occurred between chart timeframe bars
- **Always verify levels against actual higher timeframe charts before trading**
Welcome traders! This guide will walk you through the TREAD (Timeframe Resistance Evaluation And Detection) indicator, a multi-timeframe analysis tool developed by CoffeeKiller that identifies support and resistance confluence across different time periods.(I am 50+ year old trader and always thought I was bad a teaching and explaining so you get a AI guide. I personally use this on the 5 minute chart with the default settings, but to each there own and if you can improve the trend detection methods please DM me. I would like to see the code. Thanks)
Core Components
1. Dual Timeframe Level Tracking
- Short Timeframe Levels: Tracks opening price extremes within shorter periods
- Long Timeframe Levels: Tracks actual high/low extremes within longer periods
- Dynamic Reset Mechanism: Levels reset at the start of each new timeframe period
- Momentum Detection: Identifies when levels change mid-period, indicating active price movement
2. Visual Zone System
- High Zones: Areas between long timeframe highs and short timeframe highs
- Low Zones: Areas between long timeframe lows and short timeframe lows
- Fill Coloring: Dynamic colors based on whether levels are static or actively changing
- Momentum Highlighting: Special colors when levels break during active periods
3. Customizable Display Options
- Multiple Plot Styles: Line, circles, or cross markers
- Flexible Timeframe Selection: Wide range of short and long timeframe combinations
- Color Customization: Separate colors for each level type and momentum state
- Toggle Controls: Show/hide different elements based on trading preference
Main Features
Timeframe Settings
- Short Timeframe Options: 15m, 30m, 1h, 2h, 4h
- Long Timeframe Options: 1h, 2h, 4h, 8h, 12h, 1D, 1W
- Recommended Combinations:
- Scalping: 15m/1h or 30m/2h
- Day Trading: 30m/4h or 1h/4h
- Swing Trading: 4h/1D or 1D/1W
Display Configuration
- Level Visibility: Toggle short/long timeframe levels independently
- Fill Zone Control: Enable/disable colored zones between levels
- Momentum Fills: Special highlighting for actively changing levels
- Line Customization: Width, style, and color options for all elements
Color System
- Short TF High: Default red for resistance levels
- Short TF Low: Default green for support levels
- Long TF High: Transparent red for broader resistance context
- Long TF Low: Transparent green for broader support context
- Momentum Colors: Brighter colors when levels are actively changing
Technical Implementation Details
How Level Tracking Works
The indicator uses a custom tracking function that:
1. Detects Timeframe Periods: Uses `time()` function to identify when new periods begin
2. Tracks Extremes: Monitors highest/lowest values within each period
3. Resets on New Periods: Clears tracking when timeframe periods change
4. Updates Mid-Period: Continues tracking if new extremes are reached
The Timeframe Limitation Explained
`pinescript
// What the indicator does:
short_tf_start = ta.change(time(short_timeframe)) != 0 // Detects 30m period start
= track_highest(open, short_tf_start) // BUT uses chart TF opens!
// What true multi-timeframe would be:
// short_tf_high = request.security(syminfo.tickerid, short_timeframe, high)
`
This means:
- On a 5m chart with 30m/4h settings: Tracks 5m bar opens during 30m and 4h windows
- On a 1m chart with same settings: Tracks 1m bar opens during 30m and 4h windows
- Results will be different between chart timeframes
- May miss important price action that occurred between your chart's bars
Visual Elements
1. Level Lines
- Short TF High: Upper resistance line from shorter timeframe analysis
- Short TF Low: Lower support line from shorter timeframe analysis
- Long TF High: Broader resistance context from longer timeframe
- Long TF Low: Broader support context from longer timeframe
2. Zone Fills
- High Zone: Area between long TF high and short TF high (potential resistance cluster)
- Low Zone: Area between long TF low and short TF low (potential support cluster)
- Regular Fill: Standard transparency when levels are static
- Momentum Fill: Enhanced visibility when levels are actively changing
3. Dynamic Coloring
- Static Periods: Normal colors when levels haven't changed recently
- Active Periods: Momentum colors when levels are being tested/broken
- Confluence Zones: Different intensities based on timeframe alignment
Trading Applications
1. Support/Resistance Trading
- Entry Points: Trade bounces from zone boundaries
- Confluence Areas: Focus on areas where short and long TF levels cluster
- Zone Breaks: Enter on confirmed breaks through entire zones
- Multiple Timeframe Confirmation: Stronger signals when both timeframes align
2. Range Trading
- Zone Boundaries: Use fill zones as range extremes
- Mean Reversion: Trade back toward opposite zone when price reaches extremes
- Breakout Preparation: Watch for momentum color changes indicating potential breakouts
- Risk Management: Place stops outside the opposite zone
3. Trend Following
- Direction Bias: Trade in direction of zone breaks
- Pullback Entries: Enter on pullbacks to broken zones (now support/resistance)
- Momentum Confirmation: Use momentum coloring to confirm trend strength
- Multiple Timeframe Alignment: Strongest trends when both timeframes agree
4. Scalping Applications
- Quick Bounces: Trade rapid moves between zone boundaries
- Momentum Signals: Enter when momentum colors appear
- Short-Term Targets: Use opposite zone as profit target
- Tight Stops: Place stops just outside current zone
Optimization Guide
1. Timeframe Selection
For Different Trading Styles:
- Scalping: 15m/1h - Quick levels, frequent updates
- Day Trading: 30m/4h - Balanced view, good for intraday moves
- Swing Trading: 4h/1D - Longer-term perspective, fewer false signals
- Position Trading: 1D/1W - Major structural levels
2. Chart Timeframe Considerations
**Important**: Your chart timeframe affects results
- Lower Chart TF: More granular level tracking, but may be noisy
- Higher Chart TF: Smoother levels, but may miss important price action
- Recommended: Use chart timeframe 2-4x smaller than short indicator timeframe
3. Display Settings
- Busy Charts: Disable fills, show only key levels
- Clean Analysis: Enable all fills and momentum coloring
- Multi-Monitor Setup: Use different color schemes for easy identification
- Mobile Trading: Increase line width for visibility
Best Practices
1. Level Verification
- Always Cross-Check: Verify levels against actual higher timeframe charts
- Multiple Timeframes: Check 2-3 different chart timeframes for consistency
- Price Action Confirmation: Wait for candlestick confirmation at levels
- Volume Analysis: Combine with volume for stronger confirmation
2. Risk Management
- Stop Placement: Use zones rather than exact prices for stops
- Position Sizing: Reduce size when zones are narrow (higher risk)
- Multiple Targets: Scale out at different zone boundaries
- False Break Protection: Allow for minor zone penetrations
3. Signal Quality Assessment
- Momentum Colors: Higher probability when momentum coloring appears
- Zone Width: Wider zones often provide stronger support/resistance
- Historical Testing: Backtest on your preferred timeframe combinations
- Market Conditions: Adjust sensitivity based on volatility
Advanced Features
1. Momentum Detection System
The indicator tracks when levels change mid-period:
`pinescript
short_high_changed = short_high != short_high and not short_tf_start
`
This identifies:
- Active level testing
- Potential breakout situations
- Increased market volatility
- Trend acceleration points
2. Dynamic Color System
Complex conditional logic determines fill colors:
- Static Zones: Regular transparency for stable levels
- Active Zones: Enhanced colors for changing levels
- Mixed States: Different combinations based on user preferences
- Custom Overrides: User can prioritize certain color schemes
3. Zone Interaction Analysis
- Convergence: When short and long TF levels approach each other
- Divergence: When timeframes show conflicting levels
- Alignment: When both timeframes agree on direction
- Transition: When one timeframe changes while other remains static
Common Issues and Solutions
1. Inconsistent Levels
Problem: Levels look different on various chart timeframes
Solution: Always verify against actual higher timeframe charts
2. Missing Price Action
Problem: Important wicks or gaps not reflected in levels
Solution: Use chart timeframe closer to indicator's short timeframe setting
3. Too Many Signals
Problem: Excessive level changes and momentum alerts
Solution: Increase timeframe settings or reduce chart timeframe granularity
4. Lagging Signals
Problem: Levels seem to update too slowly
Solution: Decrease chart timeframe or use more sensitive timeframe combinations
Recommended Setups
Conservative Approach
- Timeframes: 4h/1D
- Chart: 1h
- Display: Show fills only, no momentum coloring
- Use: Swing trading, position management
Aggressive Approach
- Timeframes: 15m/1h
- Chart: 5m
- Display: All features enabled, momentum highlighting
- Use: Scalping, quick reversal trades
Balanced Approach
- Timeframes: 30m/4h
- Chart: 15m
- Display: Selective fills, momentum on key levels
- Use: Day trading, multi-session analysis
Final Notes
**Remember**: This indicator provides a synthetic view of multi-timeframe levels, not true higher timeframe data. While useful for identifying potential confluence areas, always verify important levels by checking actual higher timeframe charts.
**Best Results When**:
- Combined with actual multi-timeframe analysis
- Used for confluence confirmation rather than primary signals
- Applied with proper risk management
- Verified against price action and volume
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. The timeframe limitation means results may not reflect true higher timeframe levels. Always conduct your own analysis and verify levels independently before making trading decisions. Trading involves significant risk of loss.
RSI Price LadderFX:XAUUSD
Overview
RSI Price Ladder is an indicator that visualizes RSI levels mapped directly to price levels across multiple timeframes.
It helps traders see where the RSI will reach certain threshold values (like 30, 50, 70) in terms of price, without calculating manually.
It dynamically draws ladder lines (price levels) based on user-defined RSI targets, allowing clear visualization of RSI movements versus price action.
Purpose for Traders
Forecast Price Zones: Understand at which price levels RSI would hit oversold/overbought zones.
Multi-Timeframe Analysis: Monitor RSI-price relationships across multiple timeframes simultaneously (e.g., M5, M15, H1, H4).
Timing Entries and Exits: Plan precise entries or exits based on expected RSI behavior without switching between charts.
Visual Clarity: Simplifies multi-timeframe RSI tracking by ladder-style price mapping directly on the current chart.
Configuration
RSI length: The period for RSI calculation (default 14).
RSI Target Levels (1–7): Define up to 7 custom RSI levels (e.g., 20, 30, 40, 50, 60, 70, 80).
Spacing Between Ladders: Horizontal spacing between different timeframe ladders on the chart.
Pointer Colors: Customize colors for current RSI, EMA(9) of RSI, and WMA(45) of RSI.
Show TF1–TF4: Toggle visibility of up to four different timeframe ladders.
Interval TF1–TF4: Select timeframes to draw ladders (choices from 1m to 1W including 3D).
Ladder Colors: Customize the ladder color for each timeframe separately.
How to read data
See explaination:
How to use
The primary goal of this indicator is to help traders easily and accurately see price levels corresponding to specific RSI values .
Identifying Multi-Timeframe Support and Resistance
According to RSI behavior:
- In an uptrend, RSI tends to find support around 40, previous RSI bottoms, and the WMA45.
- In a downtrend, RSI tends to face resistance around 60, previous RSI tops, and the WMA45.
Using the RSI Price Ladder, you can accurately pinpoint the exact price levels corresponding to these RSI support and resistance zones.
Defining Entry Zones, Stop Loss, and Take-Profit Areas Based on RSI
For example:
By observing RSI behavior, I noticed a downward trend forming.
On both M15 and H1 timeframes, RSI resistance levels align with the price zone around 3043–3054.
Thus, I can plan a sell trade in this entry zone:
- Stop loss: If RSI breaks above the resistance level, which also corresponds to a price resistance.
- Take-profits at two areas:
RSI support on M5 at RSI 30, corresponding to price 3007.
RSI support on M15 at RSI 30, corresponding to price 2988.
You see, with the ladder, we can directly visualize the price levels corresponding to RSI points on the chart, making decision-making more intuitive.
Result:
The price successfully hit TP1 and TP2.
Visualizing Buying and Selling Strength Across Timeframes
The indicator helps track the correlation of buying and selling strength across different timeframes at the same time. For instance: when selling pressure increases, higher timeframe RSI will typically be higher than lower timeframe RSI. Visualizing this makes it easier to observe and connect price movements across multiple timeframes quickly and clearly.
Visualizing When Combining with Other Methods
In this example:
- RSI shows support around 27.
- Instantly, on the price chart, I notice that the RSI 27 level aligns with the EMA200, a major dynamic price support.
Thus, a long setup can be considered:
- Entry: Near this confluence zone.
- Stop loss: Below the EMA200 or if RSI drops to 20.
Summary
RSI Price Ladder gives traders a powerful visual tool to link RSI behavior to real price levels across multiple timeframes, enhancing strategic entry/exit planning without needing to flip charts.
- Save time spotting RSI targets.
- Stay organized across multiple timeframes.
- Customize the entire ladder experience from colors to intervals.
Supply and DemandIndicator Description : Precise Supply & Demand Zones with Fibonacci Adjustment
Overview:
This TradingView indicator is based on an innovative method for identifying Supply & Demand (S&D) zones. Unlike traditional methods that highlight broad areas, making precise trading difficult, this indicator allows for more accurate determination of key price levels. It combines classic S&D analysis with Fibonacci adjustments to identify institutional order blocks and probable turning points.
Functionality:
Identification of S&D Zones:
The indicator automatically detects key areas where major market participants ("Smart Money") have placed significant orders, causing strong price movements.
These areas represent untested orders that could be revisited in the future.
Supply zones indicate selling areas, while demand zones define buying areas.
Consideration of Candle Structure:
The number of candles within the consolidation phase influences the strength of a zone: the more candles present, the more significant the area.
Higher timeframes (e.g., 5D, 1W, 1M) provide more robust and reliable S&D zones as they reflect institutional activity.
All relevant levels are visible within a single timeframe, eliminating the need to switch between multiple timeframes.
Fibonacci Integration for Precision:
Instead of traditionally applying the Fibonacci retracement tool between swing highs and lows, it is unconventionally used here: from the open to the close of the candle preceding the impulse move.
This calculates an "Equilibrium Point" within the zone, serving as an optimal entry level.
Visual Representation:
The indicator highlights detected supply and demand zones with distinct colors.
A thin line marks the precise equilibrium point within the zone.
Particularly strong zones with a high probability of reaction are marked more intensely.
Important Notes:
The indicator is not a "holy grail" and is not a 100% foolproof method.
S&D zones are probabilistic and can fail despite all confluence factors.
It provides a solid, backtested strategy for identifying trading areas with high accuracy and efficiency.
Additional Features:
Customizable timeframes and sensitivity parameters
Option to mark historical S&D zones
Support for various asset classes (Crypto, Forex, Stocks)
Customizeable Deviation
Merging levels
This indicator is a valuable tool for traders looking to develop precise entry and exit strategies based on institutional order blocks.
Newday_smaThis algorithm is based on SMA (Simple Moving Average) to identify price trends, detecting "positive price zones" (where the price is above the SMA) and "negative price zones" (where the price is below the SMA), and then connecting turning points within those zones with lines.
Key Steps:
SMA Period Selection: The user can select the SMA period to be 5, 10, or 20.
SMA Calculation: The SMA of the current price is calculated based on the selected period.
Identify Positive and Negative Price Zones:
Positive Price Zone: When the closing price is higher than the SMA, it’s considered a positive price zone.
Negative Price Zone: When the closing price is lower than the SMA, it’s considered a negative price zone.
Identify Turning Points:
In the positive price zone, if the current closing price falls below the SMA, a potential turning point is detected, and the algorithm looks for the lowest point (the lowest high in that zone).
In the negative price zone, if the current closing price rises above the SMA, a potential turning point is detected, and the algorithm looks for the highest point (the highest low in that zone).
Connect the Turning Points:
When transitioning from the negative price zone to the positive price zone, a line is drawn from the lowest point of the negative zone to the highest point of the positive zone.
When transitioning from the positive price zone to the negative price zone, a line is drawn from the highest point of the positive zone to the lowest point of the negative zone.
Dynamic Updates: As new candles form, the algorithm continuously updates the turning points and draws the lines accordingly.
Key Features:
Flexible SMA Period Selection: The user can choose from different SMA periods (5, 10, or 20).
Dynamic Turning Point Recognition: The algorithm dynamically identifies turning points based on the relationship between the price and the SMA, marking fluctuations in price.
Connecting Turning Points: The algorithm connects the key points in positive and negative price zones with lines to help identify price trends.
Use Cases:
This algorithm is useful for technical analysis, especially for short-term trading.
It helps identify support and resistance levels, assisting users in making buy and sell decisions.
Grid Bot Parabolic [xxattaxx]🟩 The Grid Bot Parabolic, a continuation of the Grid Bot Simulator Series , enhances traditional gridbot theory by employing a dynamic parabolic curve to visualize potential support and resistance levels. This adaptability is particularly useful in volatile or trending markets, enabling traders to explore grid-based strategies and gain deeper market insights. The grids are divided into customizable trade zones that trigger signals as prices move into new zones, empowering traders to gain deeper insights into market dynamics and potential turning points.
While traditional grid bots excel in ranging markets, the Grid Bot Parabolic’s introduction of acceleration and curvature adds new dimensions, enabling its use in trending markets as well. It can function as a traditional grid bot with horizontal lines, a tilted grid bot with linear slopes, or a fully parabolic grid with curves. This dynamic nature allows the indicator to adapt to various market conditions, providing traders with a versatile tool for visualizing dynamic support and resistance levels.
🔑 KEY FEATURES 🔑
Adaptable Grid Structures (Horizontal, Linear, Curved)
Buy and Sell Signals with Multiple Trigger/Confirmation Conditions
Secondary Buy and Secondary Sell Signals
Projected Grid Lines
Customizable Grid Spacing and Zones
Acceleration and Curvature Control
Sensitivity Adjustments
📐 GRID STRUCTURES 📐
Beyond its core parabolic functionality, the Parabolic Grid Bot offers a range of grid configurations to suit different market conditions and trading preferences. By adjusting the "Acceleration" and "Curvature" parameters, you can transform the grid's structure:
Parabolic Grids
Setting both acceleration and curvature to non-zero values results in a parabolic grid.This configuration can be particularly useful for visualizing potential turning points and trend reversals. Example: Accel = 10, Curve = -10)
Linear Grids
With a non-zero acceleration and zero curvature, the grid tilts to represent a linear trend, aiding in identifying potential support and resistance levels during trending phases. Example: Accel =1.75, Curve = 0
Horizontal Grids
When both acceleration and curvature are set to zero, the indicator reverts to a traditional grid bot with horizontal lines, suitable for ranging markets. Example: Accel=0, Curve=0
⚙️ INITIAL SETUP ⚙️
1.Adding the Indicator to Your Chart
Locate a Starting Point: To begin, visually identify a price point on your chart where you want the grid to start.This point will anchor your grid.
2. Setting Up the Grid
Add the Grid Bot Parabolic Indicator to your chart. A “Start Time/Price” dialog will appear
CLICK on the chart at your chosen start point. This will anchor the start point and open a "Confirm Inputs" dialog box.
3. Configure Settings. In the dialog box, you can set the following:
Acceleration: Adjust how quickly the grid reacts to price changes.
Curve: Define the shape of the parabola.
Intervals: Determine the distance between grid levels.
If you choose to keep the default settings, with acceleration set to 0 and curve set to 0, the grid will display as traditional horizontal lines. The grid will align with your selected price point, and you can adjust the settings at any time through the indicator’s settings panel.
⚙️ CONFIGURATION AND SETTINGS ⚙️
Grid Settings
Accel (Acceleration): Controls how quickly the price reacts to changes over time.
Curve (Curvature): Defines the overall shape of the parabola.
Intervals (Grid Spacing): Determines the vertical spacing between the grid lines.
Sensitivity: Fine tunes the magnitude of Acceleration and Curve.
Buy Zones & Sell Zones: Define the number of grid levels used for potential buy and sell signals.
* Each zone is represented on the chart with different colors:
* Green: Buy Zones
* Red: Sell Zones
* Yellow: Overlap (Buy and Sell Zones intersect)
* Gray: Neutral areas
Trigger: Chooses which part of the candlestick is used to trigger a signal.
* `Wick`: Uses the high or low of the candlestick
* `Close`: Uses the closing price of the candlestick
* `Midpoint`: Uses the middle point between the high and low of the candlestick
* `SWMA`: Uses the Symmetrical Weighted Moving Average
Confirm: Specifies how a signal is confirmed.
* `Reverse`: The signal is confirmed if the price moves in the opposite direction of the initial trigger
* `Touch`: The signal is confirmed when the price touches the specified level or zone
Sentiment: Determines the market sentiment, which can influence signal generation.
* `Slope`: Sentiment is based on the direction of the curve, reflecting the current trend
* `Long`: Sentiment is bullish, favoring buy signals
* `Short`: Sentiment is bearish, favoring sell signals
* `Neutral`: Sentiment is neutral. No secondary signals will be generated
Show Signals: Toggles the display of buy and sell signals on the chart
Chart Settings
Grid Colors: These colors define the visual appearance of the grid lines
Projected: These colors define the visual appearance of the projected lines
Parabola/SWMA: Adjust colors as needed. These are disabled by default.
Time/Price
Start Time & Start Price: These set the starting point for the parabolic curve.
* These fields are automatically populated when you add the indicator to the chart and click on an initial location
* These can be adjusted manually in the settings panel, but he easiest way to change these is by directly interacting with the start point on the chart
Please note: Time and Price must be adjusted for each chart when switching assets. For example, a Start Price on BTCUSD of $60,000 will not work on an ETHUSD chart.
🤖 ALGORITHM AND CALCULATION 🤖
The Parabolic Function
At the core of the Parabolic Grid Bot lies the parabolic function, which calculates a dynamic curve that adapts to price action over time. This curve serves as the foundation for visualizing potential support and resistance levels.
The shape and behavior of the parabola are influenced by three key user-defined parameters:
Acceleration: This parameter controls the rate of change of the curve's slope, influencing its tilt or steepness. A higher acceleration value results in a more pronounced tilt, while a lower value leads to a gentler slope. This applies to both curved and linear grid configurations.
Curvature: This parameter introduces and controls the curvature or bend of the grid. A higher curvature value results in a more pronounced parabolic shape, while a lower value leads to a flatter curve or even a straight line (when set to zero).
Sensitivity: This setting fine-tunes the overall responsiveness of the grid, influencing how strongly the Acceleration and Curvature parameters affect its shape. Increasing sensitivity amplifies the impact of these parameters, making the grid more adaptable to price changes but potentially leading to more frequent adjustments. Decreasing sensitivity reduces their impact, resulting in a more stable grid structure with fewer adjustments. It may be necessary to adjust Sensitivity when switching between different assets or timeframes to ensure optimal scaling and responsiveness.
The parabolic function combines these parameters to generate a curve that visually represents the potential path of price movement. By understanding how these inputs influence the parabola's shape and behavior, traders can gain valuable insights into potential support and resistance areas, aiding in their decision-making process.
Sentiment
The Parabolic Grid Bot incorporates sentiment to enhance signal generation. The "Sentiment" input allows you to either:
Manually specify the market sentiment: Choose between 'Long' (bullish), 'Short' (bearish), or 'Neutral'.
Let the script determine sentiment based on the slope of the parabolic curve: If 'Slope' is selected, the sentiment will be considered 'Long' when the curve is sloping upwards, 'Short' when it's sloping downwards, and 'Neutral' when it's flat.
Buy and Sell Signals
The Parabolic Grid Bot generates buy and sell signals based on the interaction between the price and the grid levels.
Trigger: The "Trigger" input determines which part of the candlestick is used to trigger a signal (wick, close, midpoint, or SWMA).
Confirmation: The "Confirm" input specifies how a signal is confirmed ('Reverse' or 'Touch').
Zones: The number of "Buy Zones" and "Sell Zones" determines the areas on the grid where buy and sell signals can be generated.
When the trigger condition is met within a buy zone and the confirmation criteria are satisfied, a buy signal is generated. Similarly, a sell signal is generated when the trigger and confirmation occur within a sell zone.
Secondary Signals
Secondary signals are generated when a regular buy or sell signal contradicts the prevailing sentiment. For example:
A buy signal in a bearish market (Sentiment = 'Short') would be considered a "secondary buy" signal.
A sell signal in a bullish market (Sentiment = 'Long') would be considered a "secondary sell" signal.
These secondary signals are visually represented on the chart using hollow triangles, differentiating them from regular signals (filled triangles).
While they can be interpreted as potential contrarian trade opportunities, secondary signals can also serve other purposes within a grid trading strategy:
Exit Signals: A secondary signal can suggest a potential shift in market sentiment or a weakening trend. This could be a cue to consider exiting an existing position, even if it's currently profitable, to lock in gains before a potential reversal
Risk Management: In a strong trend, secondary signals might offer opportunities for cautious counter-trend trades with controlled risk. These trades could utilize smaller position sizes or tighter stop-losses to manage potential downside if the main trend continues
Dollar-Cost Averaging (DCA): During a prolonged trend, the parabolic curve might generate multiple secondary signals in the opposite direction. These signals could be used to implement a DCA strategy, gradually accumulating a position at potentially favorable prices as the market retraces or consolidates within the larger trend
Secondary signals should be interpreted with caution and considered in conjunction with other technical indicators and market context. They provide additional insights into potential market reversals or consolidation phases within a broader trend, aiding in adapting your grid trading strategy to the evolving market dynamics.
Examples
Trigger=Wick, Confirm=Touch. Signals are generated when the wick touches the next gridline.
Trigger=Close, Confirm=Touch. Signals require the close to touch the next gridline.
Trigger=SWMA, Confirm=Reverse. Signals are triggered when the Symmetrically Weighted Moving Average reverse crosses the next gridline.
🧠THEORY AND RATIONALE 🧠
The innovative approach of the Parabolic Grid Bot can be better understood by first examining the limitations of traditional grid trading strategies and exploring how this indicator addresses them by incorporating principles of market cycles and dynamic price behavior
Traditional Grid Bots: One-Dimensional and Static
Traditional grid bots operate on a simple premise: they divide the price chart into a series of equally spaced horizontal lines, creating a grid of trading zones. These bots excel in ranging markets where prices oscillate within a defined range. Buy and sell orders are placed at these grid levels, aiming to profit from mean reversion as prices bounce between the support and resistance zones.
However, traditional grid bots face challenges in trending markets. As the market moves in one direction, the bot continues to place orders in that direction, leading to a stacking of positions. If the market eventually reverses, these stacked trades can be profitable, amplifying gains. But the risk lies in the potential for the market to continue trending, leaving the trader with a series of losing trades on the wrong side of the market
The Parabolic Grid Bot: Adding Dimensions
The Parabolic Grid Bot addresses the limitations of traditional grid bots by introducing two additional dimensions:
Acceleration (Second Dimension): This parameter introduces a second dimension to the grid, allowing it to tilt upwards or downwards to align with the prevailing market trend. A positive acceleration creates an upward-sloping grid, suitable for uptrends, while a negative acceleration results in a downward-sloping grid, ideal for downtrends. The magnitude of acceleration controls the steepness of the tilt, enabling you to fine-tune the grid's responsiveness to the trend's strength
Curvature (Third Dimension): This parameter adds a third dimension to the grid by introducing a parabolic curve. The curve's shape, ranging from gentle bends to sharp turns, is controlled by the curvature value. This flexibility allows the grid to closely mirror the market's evolving structure, potentially identifying turning points and trend reversals.
Mean Reversion in Trending Markets
Even in trending markets, the Parabolic Grid Bot can help identify opportunities for mean reversion strategies. While the grid may be tilted to reflect the trend, the buy and sell zones can capture short-term price oscillations or consolidations within the broader trend. This allows traders to potentially pinpoint entry and exit points based on temporary pullbacks or reversals.
Visualize and Adapt
The Parabolic Grid Bot acts as a visual aid, enhancing your understanding of market dynamics. It allows you to "see the curve" by adapting the grid to the market's patterns. If the market shows a parabolic shape, like an upward curve followed by a peak and a downward turn (similar to a head and shoulders pattern), adjust the Accel and Curve to match. This highlights potential areas of interest for further analysis.
Beyond Straight Lines: Visualizing Market Cycle
Traditional technical analysis often employs straight lines, such as trend lines and support/resistance levels, to interpret market movements. However, many analysts, including Brian Millard, contend that these lines can be misleading. They propose that what might appear as a straight line could represent just a small part of a larger curve or cycle that's not fully visible on the chart.
Markets are inherently cyclical, marked by phases of expansion, contraction, and reversal. The Parabolic Grid Bot acknowledges this cyclical behavior by offering a dynamic, curved grid that adapts to these shifts. This approach helps traders move beyond the limitations of straight lines and visualize potential support and resistance levels in a way that better reflects the market's true nature
By capturing these cyclical patterns, whether subtle or pronounced, the Parabolic Grid Bot offers a nuanced understanding of market dynamics, potentially leading to more accurate interpretations of price action and informed trading decisions.
⚠️ DISCLAIMER⚠️
This indicator utilizes a parabolic curve fitting approach to visualize potential support and resistance levels. The mathematical formulas employed have been designed with adaptability and scalability in mind, aiming to accommodate various assets and price ranges. While the resulting curves may visually resemble parabolas, it's important to note that they might not strictly adhere to the precise mathematical definition of a parabola.
The indicator's calculations have been tested and generally produce reliable results. However, no guarantees are made regarding their absolute mathematical accuracy. Traders are encouraged to use this tool as part of their broader analysis and decision-making process, combining it with other technical indicators and market context.
Please remember that trading involves inherent risks, and past performance is not indicative of future results. It is always advisable to conduct your own research and exercise prudent risk management before making any trading decisions.
🧠 BEYOND THE CODE 🧠
The Parabolic Grid Bot, like the other grid bots in this series, is designed with education and community collaboration in mind. Its open-source nature encourages exploration, experimentation, and the development of new grid trading strategies. We hope this indicator serves as a framework and a starting point for future innovations in the field of grid trading.
Your comments, suggestions, and discussions are invaluable in shaping the future of this project. We welcome your feedback and look forward to seeing how you utilize and enhance the Parabolic Grid Bot.
KillZones Hunt + Sessions [TradingFinder] Alert & Volume Ranges🟣 Introduction
🔵 Session
Financial markets are divided into various time segments, each with its own characteristics and activity levels. These segments are called sessions, and they are active at different times of the day.
The most important active sessions in financial markets are :
1. Asian Session
2. European Session
3. New York Session
The timing of these major sessions based on the UTC time zone is as follows :
1. Asian Session: 23:00 to 06:00
2. European Session: 07:00 to 16:30
3. New York Session: 13:00 to 22:00
Note
To avoid overlap between sessions and interference in kill zones, we have adjusted the session timings as follows :
• Asian Session: 23:00 to 06:00
• European Session: 07:00 to 14:25
• New York Session: 14:30 to 22:55
🔵 Kill Zones
Kill zones are parts of a session where trader activity is higher than usual. During these periods, trading volume increases and price fluctuations are more intense.
The timing of the major kill zones based on the UTC time zone is as follows :
• Asian Kill Zone: 23:00 to 03:55
• European Kill Zone: 07:00 to 09:55
• New York Morning Kill Zone: 14:30 to 16:55
• New York Evening Kill Zone: 19:30 to 20:55
This indicator focuses on tracking the kill zone and its range. For example, once a kill zone ends, the high and low formed during it remain unchanged.
If the price reaches the high or low of the kill zone while the session is still active, the corresponding line is not drawn any further. Based on this information, various strategies can be developed, and the most important ones are discussed below.
🟣 How to Use
There are three main ways to trade based on the kill zone :
• Kill Zone Hunt
• Breakout and Pullback to Kill Zone
• Trading in the Trend of the Kill Zone
🔵 Kill Zone Hunt
According to this strategy, once the kill zone ends and its high and low lines no longer change, if the price reaches one of these lines within the same session and is strongly rejected, a trade can be entered.
🔵 Breakout and Pullback to Kill Zone
According to this strategy, once the kill zone ends and its high and low lines no longer change, if the price breaks one of these lines strongly within the same session, a trade can be entered on the pullback to that level.
Trading in the Trend of the Kill Zone
We know that kill zones are areas where high-volume trading occurs and powerful trends form. Therefore, trades can be made in the direction of the trend. For example, when an upward trend dominates this area, you can enter a buy trade when the price reaches a demand order block.
🟣 Features
🔵 Alerts
You can set alerts to be notified when the price hits the high or low lines of the kill zone.
🔵 More Information
By enabling this feature, you can view information such as the time and trading volume within the kill zone. This allows you to compare the trading volume with the same period on the previous day or other kill zones.
🟣 Settings
Through the settings, you have access to the following options :
• Show or hide additional information
• Enable or disable alerts
• Show or hide sessions
• Show or hide kill zones
• Set preferred colors for displaying sessions
• Customize the time range of sessions
• Customize the time range of kill zones
[SS]Multicolor BB with Squeez Moving Average & Colored BarsHello Followers,
Hope u guyz doing well in the market.
Came with a standalone Trading System which helps u with the trend & choppiness zone.
This system is combination of multiple stretagies which makes it better than single published indicators.
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We have used Variety-Filtered, Squeeze Moving Averages which is a chop zone indicator that identifies when price is below a specific volatility threshold calculated as the difference between a fast and slow moving average and filtered using ATR- or Pips-based threshold. This indicator can be use as both an entry and exit indicator. It identifies both chop zones and breakouts/breakdowns
Uses:-
When the candles turn white and the threshold bands appear on the chart, this is indicative of low volatility
When price exits the threshold bands, price will usually explode up or down giving a long or short signal. This acts as a sort of squeeze momentum.
Included:
Bar coloring
Signals
Alerts, 4 types of alerts: Squeeze started, Squeeze ended, long, and short
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Multicolour Bollinger Bands indicator that indicates market phases.
It plots on the price chart, thanks to different color zones between the bands, a breakdown of the different phases that the price operates during a trend.
The different zones are identified as follows:
- red color zone: trend is bearish , price is below the 200 periods moving average
--> orange color zone: price operate a technical rebound below the 200 periods moving average
- yellow color zone: (phase 1 which indicate a new bearish cycle)
- light green zone: (phase 2 which indicate a new bullish cycle)
--> dark green zone: trend is bullish , price is above the 200 periods moving average
- grey color zone: calm phase of price/low volatility
- dark blue color zone: price is consolidating in either bullish or bearish trend
- light blue zones: price will revert to a new opposite trend (either long or short new trend)
By identifying clearly the different market phases with the multicolor Bollinger bands , the market entries by either a the beginning of a new trend or just after a rebound or a consolidating phase is easier to spot on.
<<==========================>>
The credit of above indicator souce goes to loxx & Deveatt. I just backtested and modified it to increase accuracy of trade and clear visual representation for trades.
Modified the trend based SMA and BB period and entry criteria.
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1) Look for BB COLOR and SMA for trend either up or down.
2) Look Bar coloring, enter when price above sma and green for long else short.
SMA50 ATR%SMA50 ATR% Zones Indicator
Overview:
The "SMA50 ATR%" indicator is designed to provide dynamic zones above and below a Simple Moving Average (SMA) based on multiples of the Average True Range (ATR). These zones can help traders identify potential areas of interest for entries, profit-taking, and stop-loss placement by visualizing how far the price has deviated from its medium-term mean (SMA) relative to its recent volatility (ATR).
Key Features:
Central SMA: Plots a customizable Simple Moving Average (default 50-period) as the baseline.
ATR-Based Zones: Calculates and displays distinct zones by adding or subtracting multiples of the ATR (default 10-period) from the SMA.
Color-Coded Visuals: Each zone type is clearly differentiated by color and shading intensity, providing an intuitive visual guide.
Current Zone Label: Displays the specific ATR multiple zone the current price is trading in, offering quick insight into the market's current position relative to the zones.
Zone Breakdown:
The indicator plots the following zones:
Entry Zones (Green Shades):
+1x ATR to +2x ATR above SMA
+2x ATR to +3x ATR above SMA
+3x ATR to +4x ATR above SMA
The green shades become progressively lighter as they move further from the SMA, with the zone closest to the SMA being the darkest green.
Hold Zones (Yellow Shades):
+4x ATR to +5x ATR above SMA (Darker Yellow)
+5x ATR to +6x ATR above SMA (Lighter Yellow)
Sell Zones (Red Shades):
+6x ATR to +7x ATR above SMA
+7x ATR to +8x ATR above SMA
+8x ATR to +9x ATR above SMA
+9x ATR to +10x ATR above SMA
+10x ATR to +11x ATR above SMA
The red shades become progressively darker as they move further from the +6x ATR level, with the +10x to +11x ATR zone being the darkest red.
Stop Loss Zones (Red Shades):
-1x ATR below SMA (Lighter Red)
-1x ATR to -2x ATR below SMA (Darker Red)
How to Use:
Potential Entry Areas: The green "Entry Zones" might indicate areas where the price has pulled back towards the SMA but is still showing strength, or areas where a breakout above the SMA is gaining momentum relative to volatility.
Potential Overbought/Hold Areas: The yellow "Hold Zones" could suggest that the price is becoming extended from its mean, warranting caution or a "hold" approach for existing positions.
Potential Profit-Taking/Sell Areas: The red "Sell Zones" might highlight significantly overbought conditions where the price has moved multiple ATRs above the SMA, potentially signaling areas for profit-taking or considering short entries.
Potential Stop-Loss Areas: The red "Stop Loss Zones" below the SMA can help define areas where a breakdown below the moving average, considering volatility, might invalidate a bullish bias.
Customization:
SMA Length: Adjust the period for the Simple Moving Average (Default: 50).
ATR Length: Adjust the period for the Average True Range calculation (Default: 10).
Show Current Zone Label: Toggle the visibility of the on-screen label that displays the current price's ATR zone.
SMA Line Width: Customize the thickness of the SMA line.
Label Position & Size: Control the placement and text size of the current zone label for optimal chart readability.
Disclaimer:
This indicator is a tool for technical analysis and should not be considered as financial advice. Always use risk management and combine with other analysis methods before making trading decisions.
Sharpe Ratio ScreenerThe original code was created by tim_amblard , and the modifications were made by Mr_Rakun for the purpose of adapting the script into a screener format.
The Sharpe ratio is a popular metric used to measure the risk-adjusted return of an asset or portfolio, which allows traders and investors to assess whether the returns they are receiving are worth the risk they are taking. In this script, the Sharpe ratio is calculated over a 180-day period (approximately 6 months), and several valuation zones are defined based on the ratio to help assess whether an asset is overvalued, undervalued, or critically undervalued.
Key Features:
1. Risk-Free Rate Input: The user can define the risk-free rate (usually the return of government bonds or a similar safe asset) for Sharpe ratio calculation.
2. Lookback Period (180 Days): The default lookback period is set to 180 days (approximately 6 months) to calculate the mean and standard deviation of the asset’s daily returns.
3. Valuation Zones:
• Overvalued Zone: If the Sharpe ratio is greater than 5.
• Undervalued Zone: If the Sharpe ratio is between -1 and 5.
• Critically Undervalued Zone: If the Sharpe ratio is below -3.
• Neutral Zone: If the Sharpe ratio does not meet any of the above conditions.
4. Table View: The script pulls a list of symbols from the user (e.g., cryptocurrency or stock tickers) and displays their latest price, Sharpe ratio, and whether they are in an overvalued, undervalued, or neutral zone in a table format.
5. Custom Symbol Input: The user can input a list of symbols (separated by commas) to track.
6. Daily Timeframe Check: The script warns the user to ensure they are using a daily timeframe, as this indicator is designed specifically for it.
How It Works:
• The script calculates the daily returns for each symbol over the specified lookback period.
• It then calculates the mean and standard deviation of the returns to derive the Sharpe ratio.
• The Sharpe ratio is annualized, and it’s compared to the defined thresholds to categorize the symbol into different valuation zones.
• A table is generated on the chart to show the symbols, their current prices, and their Sharpe ratios, with color-coded background to easily identify whether they are overvalued (red), undervalued (green), or critically undervalued (blue).
This tool is useful for screening multiple assets for their Sharpe ratio to find investment opportunities with optimal risk-adjusted returns.
Original code credit: This code was originally written by tim_amblard and modified by Mr_Rakun for use as a screener.
Türkçe Açıklama:
Orijinal kod tim_amblard tarafından yazılmıştır ve Mr_Rakun tarafından, bu script’in tarayıcı formatına dönüştürülmesi amacıyla değiştirilmiştir.
Sharpe oranı, bir varlığın veya portföyün risk düzeltilmiş getirisini ölçmek için yaygın olarak kullanılan bir metriktir. Bu metrik, yatırımcıların aldıkları risk karşılığında aldıkları getirinin ne kadar verimli olduğunu değerlendirmelerine olanak tanır. Bu script’te, Sharpe oranı 180 günlük bir periyot (yaklaşık 6 ay) boyunca hesaplanır ve oranı baz alarak varlıkların değerleme bölgeleri tanımlanır: aşırı değerli, değerli ve kritik şekilde değersiz.
Ana Özellikler:
1. Risk-Free Rate (Risk-Free Oranı) Girişi: Kullanıcı, Sharpe oranı hesaplaması için risk-free (risksiz) oranı (genellikle devlet tahvilleri veya benzeri güvenli bir varlık getirisi) tanımlayabilir.
2. Lookback (Geribildirim) Periyodu (180 Gün): Varsayılan geribildirim periyodu, varlığın günlük getirilerinin ortalama ve standart sapmalarını hesaplamak için 180 gün (yaklaşık 6 ay) olarak ayarlanmıştır.
3. Değerleme Bölgeleri:
• Aşırı Değerli Bölge: Sharpe oranı 5’ten büyükse.
• Değerli Bölge: Sharpe oranı -1 ile 5 arasında ise.
• Kritik Derecede Değersiz Bölge: Sharpe oranı -3’ten küçükse.
• Nötr Bölge: Sharpe oranı yukarıdaki hiçbir koşulu karşılamıyorsa.
4. Tablo Görünümü: Script, kullanıcıdan alınan semboller listesine göre (örneğin, kripto para veya hisse senedi sembolleri) her bir sembolün son fiyatını, Sharpe oranını ve değerleme bölgesini tablo şeklinde gösterir.
5. Özel Sembol Girişi: Kullanıcı, izlemek istediği semboller listesini (virgülle ayrılmış) girebilir.
6. Günlük Zaman Çerçevesi Kontrolü: Script, kullanıcının doğru sonuçlar almak için günlük zaman çerçevesinde işlem yapması gerektiğini hatırlatır.
Nasıl Çalışır:
• Script, her sembol için belirtilen geribildirim periyodu boyunca günlük getirileri hesaplar.
• Ardından, getirilerin ortalama ve standart sapmasını hesaplayarak Sharpe oranını çıkarır.
• Sharpe oranı yıllıklaştırılır ve tanımlanan eşiklerle karşılaştırılarak sembol, farklı değerleme bölgelerine kategorize edilir.
• Grafik üzerinde, semboller, mevcut fiyatları ve Sharpe oranları gösteren bir tablo oluşturulur. Bu tablo, hangi sembollerin aşırı değerli (kırmızı), değerli (yeşil) veya kritik derecede değersiz (mavi) olduğunu kolayca görmek için renk kodlu arka planlar kullanır.
Bu araç, yatırım fırsatlarını daha verimli bir şekilde değerlendirebilmek için risk düzeltilmiş getiri açısından optimal fırsatları bulmak için birden fazla varlığın Sharpe oranlarını taramak için kullanışlıdır.
cd_mtg_CxThis indicator is designed to show discount / premium zones and price gaps (fvg) on the screen within a rule.
Overview:
As it is known, the price continues its movement with swings and uses some zones to continue or reverse its movement. Commonly used of these zones are named by different traders such as supply / demand, order block, suport/ resistance zone. And again, many traders prefer to be involved in the entry when the price determined with the help of market structure reaches the premium / discount zones.
Expectation from the indicator and how it works:
Identify areas where the price is likely to react.
Zones to be determined for this purpose:
1- Discount / premium zones
2- Mitigation zones with price retesting
3- Price gaps (FVG's)
How is it determined?
1- Tracks the price in the higher timeframe it is alignment with, when the price violates the previous candle in the new candle (high/low), the previous candle's zones between top/bottom - middle levels.
high - middle => premium zone
low - middle => discount zone
and displays it on the screen.
2- Mitigation zones: When the price retests the discount/premium zones, those zones appear on the screen by extending to the last bar and are named as mitigation zones in the indicator.
3- Price gaps (FVG's): It is shown on the screen with known rules and higher time frame option.
Zones where the price does not respect are deleted from the display.
Settings:
- HTF for mitigation zones : Alignment high time frame selection
- HTF for FVG zones : Alignment high time frame selection
- Show HTF boxes : Show / hide
- Show Mitigation zones : Show / hide
- Show Discount/Premium zones: Show / hide
- Show FVG zones : Show / hide
And colors….
Screenshots and example :
The 15m chart is open on the screen and I select the alignment time zone H4. I select the higher time zone H1 in FVGs.
Screenshot with Show HTF boxes and Show FVG zones selected:
With show discount / premium zones selected :
With show mitigation zones selected :
Final Word : When the price comes to our zone, we take action together with other confirmations.
Our expectation from the zones is to send the price back to the region it came from.
If it is not successful, we should plan a reverse transaction.
Cheerful trades...
-- Türkçe Açıklama
Bu indikatör, bir kural dahilinde ucuzluk / pahalılık bölgelerini ve fiyat boşluklarını (fvg) ekranda göstermek ve traderlara en uygun yerde işlem fırsatı sunmak üzere tasarlanmıştır.
Genel Bakış :
Bilindiği gibi fiyat hareketine salınımlarla devam eder ve hareketine devam etmek ya da tersine dönmek için bazı bölgeleri kullanır. Bu bölgelerin yaygın şekilde kullanılanları supply / demand, order block , support /resistance zone gibi farklı ekollerce adlandırılmıştır. Ve yine birçok trader market yapısı yardımla belirlediği fiyatın ucuzluk / pahalılık bölgelerine gelmesiyle işleme dahil olmayı tercih eder.
İndikatörden beklenti ve nasıl çalışır:
Beklenti; Fiyatın tepki alması muhtemel bölgeleri belirlemesidir.
Bu amaçla belirleyeceği bölgeler:
1- Ucuzluk / pahalılık bölgeleri
2- Fiyatın tekrar test etmesiyle “mitigasyon bölgeleri/mitige”
3- Fiyat boşlukları (FVG ler)
Nasıl belirler ?
1- Fiyatı uyumlu olduğu üst zaman diliminde takip eder, fiyat yeni mumda bir önceki mumu ihlal ettiğinde (high/low), önceki mumun tepe/dip - orta seviyeleri arasında kalan bölgeleri
high - middle => premium zone
low - middle => discount zone
olarak belirler ve ekranda gösterir.
2- Mitigasyon bölgesi: Fiyat ucuzluk/ pahalılık bölgeleri yeniden test ettiğinde, o bölgeler son bara uzatılarak ekranda görünür ve indikatörde ismi “mitigation zone” olarak geçer.
3- Fiyat boşlukları (FVG) : Bilinen kurallarla ve üst zaman dilimi seçeneğiyle ekranda gösterilir.
Fiyatın saygı göstermediği bölgeler ekrandan silinir.
Ayarlar:
- HTF for mitigation zones : Uyumlu üst zaman dilimi seçimi
- HTF for FVG zones : Uyumlu üst zaman dilimi seçimi
Gösterim ve renk seçenekleri.
Ekran görüntüleri ve örnek : (İngilizce kısımda)
Son söz : Fiyat bölgemize geldiğinde diğer konfirmelerle birlikte işlem alıyoruz.
Bölgelerden beklentimiz fiyatı geldiği bölgeye tekrar göndermesidir.
Eğer başarılı olamazsa tersi yönde işlem planlamalıyız.
Neşeli tradeler...
Pipnotic Supply and DemandDescription
The Pipnotic Supply and Demand Indicator was originally developed in 2011 for another trading platform and is currently being rewritten for TradingView due to user demand. It is a powerful tool designed for traders who utilize supply and demand concepts in technical analysis. This script automatically detects and highlights key supply and demand zones (as well as buy and sell zones) on the chart, enabling traders to identify potential reversal points, trend continuations, and price imbalances. We will continue to actively develop this indicator for existing and this new version for TradingView.
How It Works
The indicator follows a structured methodology to analyse price action and identify high-probability supply and demand zones:
Zone Identification:
Detects accumulation and distribution phases using volatility and range conditions.
Identifies zones where price imbalances occur, signalling potential trading opportunities.
Expansion and Confirmation:
Assesses whether the price expands away from a zone significantly enough to validate it as a supply or demand zone.
Uses a risk-to-reward ratio to ensure zones meet predefined trading criteria, adjustable via the configuration.
Visualization and Management:
Plots supply (bearish) and demand (bullish) zones directly on the chart.
Labels the percentage of expansion from the zone, giving traders insights into the strength of the imbalance.
Updates zones dynamically, marking tested and consumed levels and preventing outdated information from cluttering the chart.
Key Features & Inputs
Customizable Zone Display: Traders can adjust the maximum number of supply and demand zones shown on the chart.
Dynamic Volatility Sampling: Uses the ATR (Average True Range) to adapt to changing market conditions.
Flexible Risk Management: Allows traders to define a minimum zone size and a risk-to-reward ratio for filtering zones.
Enhanced Visualization:
Adjustable colours for bullish and bearish zones.
Configurable border width for zone clarity.
Optional display of consumed zones to avoid redundant signals, but to also identify price sensitive zones on the flip side of the book when zones are consumed.
Swing Significance Detection: Enables boxing of significant price swings to refine the accuracy of identified zones.
Benefits of Using the Pipnotic Supply and Demand Indicator
Automates Supply and Demand Analysis: Eliminates the need for manual zone drawing, saving time and reducing subjectivity.
Enhances Trade Decision-Making: By providing precise entry and exit points based on supply and demand principles, traders can optimize their strategies.
Adapts to Market Conditions: The indicator dynamically adjusts to price movements, ensuring relevant zones are displayed.
Works Across All Timeframes: Suitable for scalping, swing trading, and long-term investing.
Compatible with Multiple Trading Strategies: Can be used alongside trend-following, breakout, and reversal strategies for improved trade confirmation.
Volatility Cycle IndicatorThe Volatility Cycle Indicator is a non-directional trading tool designed to measure market volatility and cycles based on the relationship between standard deviation and Average True Range (ATR). In the Chart GBPAUD 1H time frame you can clearly see when volatility is low, market is ranging and when volatility is high market is expanding.
This innovative approach normalizes the standard deviation of closing prices by ATR, providing a dynamic perspective on volatility. By analyzing the interaction between Bollinger Bands and Keltner Channels, it also detects "squeeze" conditions, highlighting periods of reduced volatility, often preceding explosive price movements.
The indicator further features visual aids, including colored zones, plotted volatility cycles, and highlighted horizontal levels to interpret market conditions effectively. Alerts for key events, such as volatility crossing significant thresholds or entering a squeeze, make it an ideal tool for proactive trading.
Key Features:
Volatility Measurement:
Tracks the Volatility Cycle, normalized using standard deviation and ATR.
Helps identify periods of high and low volatility in the market.
Volatility Zones:
Colored zones represent varying levels of market volatility:
Blue Zone: Low volatility (0.5–0.75).
Orange Zone: Transition phase (0.75–1.0).
Green Zone: Moderate volatility (1.0–1.5).
Fuchsia Zone: High volatility (1.5–2.0).
Red Zone: Extreme volatility (>2.0).
Squeeze Detection:
Identifies when Bollinger Bands contract within Keltner Channels, signaling a volatility squeeze.
Alerts are triggered for potential breakout opportunities.
Visual Enhancements:
Dynamic coloring of the Volatility Cycle for clarity on its momentum and direction.
Plots multiple horizontal levels for actionable insights into market conditions.
Alerts:
Sends alerts when the Volatility Cycle crosses significant levels (e.g., 0.75) or when a squeeze condition is detected.
Non-Directional Nature:
The indicator does not predict the market's direction but rather highlights periods of potential movement, making it suitable for both trend-following and mean-reversion strategies.
How to Trade with This Indicator:
Volatility Squeeze Breakout:
When the indicator identifies a squeeze (volatility compression), prepare for a breakout in either direction.
Use additional directional indicators or chart patterns to determine the likely breakout direction.
Crossing Volatility Levels:
Pay attention to when the Volatility Cycle crosses the 0.75 level:
Crossing above 0.75 indicates increasing volatility—ideal for trend-following strategies.
Crossing below 0.75 signals decreasing volatility—consider mean-reversion strategies.
Volatility Zones:
Enter positions as volatility transitions through key zones:
Low volatility (Blue Zone): Watch for breakout setups.
Extreme volatility (Red Zone): Be cautious of overextended moves or reversals.
Alerts for Proactive Trading:
Configure alerts for squeeze conditions and level crossings to stay updated without constant monitoring.
Best Practices:
Pair the Volatility Cycle Indicator with directional indicators such as moving averages, trendlines, or momentum oscillators to improve trade accuracy.
Use on multiple timeframes to align entries with broader market trends.
Combine with risk management techniques, such as ATR-based stop losses, to handle volatility spikes effectively.
Mars Signals - SSL Trend AnalyzerIntroduction
The "Mars Signals - Precision Trend Analyzer with SSL Baseline & Price Action Zones" is a comprehensive technical analysis tool designed for traders seeking to enhance their market analysis and trading strategies. This indicator integrates multiple advanced trading concepts, including dynamic moving averages, trend detection algorithms, momentum indicators, volume analysis, higher timeframe confirmation, candlestick pattern recognition, and precise price action zones. By combining these elements, the indicator aims to provide clear and actionable buy and sell signals, helping traders to make informed decisions in various market conditions.
Core Components and Functionality
1.Dynamic Baseline Calculation
Moving Average Types: The indicator allows users to select from a variety of moving average types for the baseline calculation, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Hull Moving Average (HMA), Weighted Moving Average (WMA), Double EMA (DEMA), Triple EMA (TEMA), Least Squares Moving Average (LSMA), Triangular Moving Average (TMA), Kijun (from Ichimoku Kinko Hyo), and McGinley's Dynamic.
Baseline Length: Users can customize the length of the moving average, providing flexibility to adjust the sensitivity of the baseline to market movements.
Signal Line Generation: The indicator computes a dynamic signal line based on the relationship between the close price and the moving averages of the high and low prices. This signal line adapts to market volatility and trend changes.
2.SSL Baseline Integration
SSL Baseline: In addition to the primary baseline, the indicator incorporates an SSL (Semaphore Signal Level) Baseline, which further refines trend detection by considering the highs and lows over a specified period.
Dual Confirmation: The combination of the primary baseline and the SSL baseline enhances the reliability of the trend signals by requiring agreement between both baselines before generating a signal.
3.Momentum and Trend Filters
Relative Strength Index (RSI): The indicator uses the RSI to assess the momentum of price movements, filtering out signals that occur during overbought or oversold conditions.
Moving Average Convergence Divergence (MACD): The MACD is employed to identify the direction and strength of the trend, adding another layer of confirmation to the signals.
Average Directional Index (ADX): The ADX measures the strength of the trend, ensuring that signals are generated only when the market shows significant directional movement.
4.Volume Analysis
Volume Filter: An optional volume filter compares the current volume to its moving average, allowing traders to focus on signals that occur during periods of higher market activity.
5.Higher Timeframe Confirmation
Multi-Timeframe Analysis: The indicator can incorporate data from a higher timeframe, comparing the current price to the higher timeframe's baseline and signal line. This feature helps traders align their trades with the broader market trend.
6.Candlestick Pattern Recognition
Bullish Patterns: The indicator detects bullish patterns such as Bullish Engulfing, Piercing Line, Hammer, and Doji.
Bearish Patterns: It also identifies bearish patterns like Bearish Engulfing, Dark Cloud Cover, Shooting Star, and Doji.
Pattern Prioritization: The patterns are prioritized to highlight the most significant formations, which can serve as additional confirmation for trade entries and exits.
7.Price Action Zones
Support and Resistance Levels: The indicator automatically identifies pivot highs and lows to establish dynamic support and resistance levels.
Zone Visualization: It draws shaded rectangles on the chart to represent these zones, providing a clear visual aid for potential reversal or breakout areas.
ATR-Based Zone Width: The zones' thickness is dynamically calculated using the Average True Range (ATR), adjusting to the current market volatility.
Background Coloring: The chart background changes color when the price is above the maximum resistance or below the minimum support, alerting traders to significant price movements.
Interpreting the Signals
1.Buy Signals
Conditions:
Price crosses above the signal line.
RSI is below 70 (not overbought).
MACD line is above the signal line (indicating bullish momentum).
ADX is above the user-defined threshold (default is 20), confirming a strong trend.
(Optional) Volume is above its moving average if the volume filter is enabled.
(Optional) Price is above the higher timeframe baseline and signal line if the higher timeframe filter is enabled.
(Optional) A bullish candlestick pattern is detected if the candlestick pattern filter is enabled.
Visual Indicators:
An upward-pointing label with the text "BUY" appears below the price bar.
The baseline and SSL baseline lines turn to colors indicating bullish conditions.
2.Sell Signals
Conditions:
Price crosses below the signal line.
RSI is above 30 (not oversold).
MACD line is below the signal line (indicating bearish momentum).
ADX is above the user-defined threshold, confirming a strong trend.
(Optional) Volume is above its moving average if the volume filter is enabled.
(Optional) Price is below the higher timeframe baseline and signal line if the higher timeframe filter is enabled.
(Optional) A bearish candlestick pattern is detected if the candlestick pattern filter is enabled.
Visual Indicators:
A downward-pointing label with the text "SELL" appears above the price bar.
The baseline and SSL baseline lines turn to colors indicating bearish conditions.
3.Support and Resistance Zones
Interpretation:
Resistance Zones: Represent areas where the price may face selling pressure. A break above these zones can signal a strong bullish move.
Support Zones: Represent areas where the price may find buying interest. A break below these zones can signal a strong bearish move.
Background Color:
The background turns red when the price is above the maximum resistance, indicating potential overextension.
The background turns green when the price is below the minimum support, indicating potential undervaluation.
Effective Usage Strategies
1.Customization
Adjusting Baseline and SSL Settings: Traders should experiment with different moving average types and lengths to match their trading style and the specific characteristics of the asset being analyzed.
Filtering Parameters: Modify RSI, MACD, and ADX settings to fine-tune the sensitivity of the signals.
Volume and Higher Timeframe Filters: Enable these filters to add robustness to the signals, especially in volatile markets or when trading higher timeframes.
2.Combining with Other Analysis
Fundamental Analysis: Use the indicator in conjunction with fundamental insights to validate technical signals.
Risk Management: Always apply proper risk management techniques, such as setting stop-loss and take-profit levels based on the support and resistance zones provided by the indicator.
3.Backtesting
Historical Analysis: Utilize the indicator's settings to backtest trading strategies on historical data, helping to identify the most effective configurations before applying them in live trading.
4.Monitoring Market Conditions
Volatility Awareness: Pay attention to the ATR and ADX readings to understand market volatility and trend strength, adjusting strategies accordingly.
Event Considerations: Be cautious around major economic announcements or events that may impact market behavior beyond technical indications.
Indicator Inputs and Customization Options
Baseline Type and Length: Select from multiple moving average types and specify the period length.
ADX Settings: Adjust the length, smoothing, and threshold for trend strength confirmation.
Volume Filter: Enable or disable the volume confirmation filter.
Higher Timeframe Filter: Choose to incorporate higher timeframe analysis and specify the desired timeframe.
Candlestick Patterns: Enable or disable the detection of candlestick patterns for additional signal confirmation.
SSL Baseline Type and Length: Customize the SSL baseline settings separately from the primary baseline.
Price Action Zones Settings:
Zone Thickness: Adjust the visual thickness of the support and resistance zones.
Lookback Period: Define how far back the indicator looks for pivot points.
ATR Multiplier for Zone Width: Set the multiplier for ATR to determine the dynamic width of the zones.
Maximum Number of Zones: Limit the number of support and resistance zones displayed.
Pivot Bars: Customize the number of bars to the left and right used for identifying pivot highs and lows.
Conclusion
The "Mars Signals - Precision Trend Analyzer with SSL Baseline & Price Action Zones" is a versatile and powerful tool that amalgamates essential technical analysis techniques into a single, user-friendly indicator. By providing clear visual signals and incorporating multiple layers of confirmation, it assists traders in identifying high-probability trading opportunities. Whether you are a day trader, swing trader, or long-term investor, this indicator can be tailored to suit your trading style and enhance your decision-making process.
To maximize the benefits of this indicator:
Understand Each Component: Familiarize yourself with how each part of the indicator contributes to the overall signal generation.
Customize Thoughtfully: Adjust the settings based on the asset class, market conditions, and your risk tolerance.
Practice Diligently: Use demo accounts or paper trading to practice and refine your strategy before deploying it in live markets.
Stay Informed: Continuously educate yourself on technical analysis and market dynamics to make the most informed decisions.
Disclaimer
Trading financial markets involves risk, and past performance is not indicative of future results. This indicator is a tool to aid in analysis and should not be the sole basis for any trading decision. Always conduct your own research and consider consulting with a licensed financial advisor.
SND CrawlerThe SND Crawler indicator is a powerful tool designed to help traders identify key supply and demand zones on a chart, based on specific candle patterns and price action. The indicator currently detects three distinct types of demand zones (Type 1, Type 2, and Type 3), each representing critical areas where the market has shown significant buying interest.
How It Works:
Type 1 Demand Zone: Identified by a down candle followed by an up candle that closes above the high of the down candle. This zone indicates a potential area of demand where buyers have stepped in strongly.
Type 2 Demand Zone: This zone consists of a bearish candle followed by another candle that doesn't close below the low of the bearish candle. A subsequent bullish candle then closes above the high of the initial bearish candle, signaling a more complex demand area.
Type 3 Demand Zone: This more sophisticated zone involves a bearish candle (Candle ) followed by a series of candles that do not close below its low or trade above its high. A final bullish candle closes above the high of the bearish candle, confirming the demand zone.
The indicator is customizable:
Bars Back for Type 3: Adjust the number of bars back the indicator looks to identify Type 3 demand zones.
Show Only Highest Priority: Choose whether to display only the highest-priority demand zone when zones overlap or show all detected zones.
Benefits to the Community:
This indicator simplifies the process of identifying critical demand zones, which can be pivotal in making informed trading decisions.
Acknowledgments:
This indicator was inspired by the concepts taught by Mentfx, and all credit goes to him for his insights and mentorship. I created this tool to simplify my own trading process and share it with the community. The SND Crawler will be updated over time as I continue to refine and expand its capabilities.
Opening Range Breakout with John Wick + CDH/CDLOpening Range Breakout (ORB) De Luxe with John Wick Pattern - User Manual Table of Contents
1. Introduction
2. Key Features
3. Installation
4. Configuration Guide
5. Trading Signals
6. Pattern Recognition
7. Zone Trading
8. Alert Setup
9. Trading Strategies
10. Best Practices
11. Troubleshooting
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1. Introduction The Opening Range Breakout (ORB) with John Wick indicator is a comprehensive trading tool designed for intraday and swing traders. It combines the classic Opening Range Breakout strategy with advanced candlestick pattern recognition, including the unique "John Wick" pattern. What is Opening Range Breakout? The Opening Range (OR) is the price range established during the first 15 minutes of a trading session. This range often acts as support and resistance for the remainder of the trading day. Breakouts above or below this range can signal strong directional moves. Key Concepts: • Opening Range High: The highest price during the first 15 minutes • Opening Range Low: The lowest price during the first 15 minutes • Breakout: Price movement above OR High (bullish) or below OR Low (bearish) • Pattern Zones: Areas around key levels where pattern recognition is most effective • PDH/PDL: Previous Day High and Previous Day Low - key reference levels from the prior trading day • CDH/CDL: Current Day High and Current Day Low - dynamically updating intraday extremes
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2. Key Features Core Features: • Multi-Session Support: New York, London, Tokyo, Sydney, Frankfurt, and Custom sessions • Opening Range Visualization: Automatic OR High/Low detection and plotting • Pattern Recognition: Engulfing, Hammer/Shooting Star, Doji, and John Wick patterns • Zone Trading: Customizable zones around OR and PDH/PDL/CDH/CDL levels • Previous Day Levels: PDH (Previous Day High) and PDL (Previous Day Low) • Current Day Levels: CDH (Current Day High) and CDL (Current Day Low) - real-time tracking • Mid-Point Levels: Automatic calculation of OR mid-point • Real-Time Alerts: Breakout and pattern-based alerts • Multi-Timezone Support: Exchange or custom timezone selection Visual Features: • Dynamic color-coded levels • Triangle signals for breakouts • Pattern labels with clear identification • Information table with current session data • Fully customizable colors and styles
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3. Installation Step 1: Add to Chart
4. Open TradingView and navigate to your desired chart
5. Click on "Indicators" (or press /)
6. Search for "Opening Range Breakout with John Wick"
7. Click to add the indicator to your chart Step 2: Initial Setup
8. The indicator will automatically detect your chart's timezone
9. Default session is set to "New York"
10. All features are enabled by default Recommended Timeframes: • Optimal: 1-minute to 15-minute charts • Suitable: Up to 1-hour charts • Not Recommended: Daily or higher timeframes
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4. Configuration Guide Timezone Settings Use Exchange Timezone • Enabled (Default): Uses the exchange's native timezone • Disabled: Uses chart timezone or custom selection Timezone Selection Available when "Use Exchange Timezone" is disabled: • America/New_York • Europe/London • Europe/Amsterdam • Asia/Tokyo • Australia/Sydney Session Selection Trading Sessions • Sydney: 09:00-16:00 Sydney time • Tokyo: 09:00-15:00 Tokyo time • London: 08:00-16:30 London time • Frankfurt: 09:00-17:30 Frankfurt time • New York: 09:30-16:00 New York time • Custom: User-defined session • Previous Sessions: Shows multiple historical ORs Custom Session Settings • Custom Session Time: Define your own trading hours • Custom Session Name: Label for your custom session Display Options Line Settings • Line Width: 1-5 (Default: 2) • Line Style: Solid, Dashed, or Dotted • Show Current Only: Hide historical OR lines • Show Session Name: Display session label on chart Color Customization • OR Resistance (High): Default red • OR Support (Low): Default green • Session Colors: Unique color per session type • Zone Colors: Separate colors for OR and PDH/PDL zones Pattern Zone Settings Zone Configuration • Show Pattern Detection Zone: Enable/disable zones • OR Zone Size: Percentage of OR range (Default: 2%) • PDH/PDL Zone Size: Percentage of PDH-PDL range (Default: 1.5%) • CDH/CDL Zone Size: Percentage of CDH-CDL range (Default: 1.5%) • Show Zone Labels: Display zone boundary values • Only Detect Patterns in Zone: Limit pattern detection to zones Mid-Point Settings • Show Opening Range Mid-Point: Display OR midline • Mid-Point Color: Default gray • Mid-Point Style: Dotted, Dashed, or Solid • Show Mid-Point Label: Display midpoint value Previous Day Levels • Show Previous Day High/Low: Enable PDH/PDL lines • PDH/PDL Colors: Default yellow • PDH/PDL Line Style: Customizable style • Show PDH/PDL Labels: Display level values
Current Day Levels • Show Current Day High/Low: Enable CDH/CDL lines • CDH/CDL Colors: Default blue • CDH/CDL Line Style: Customizable style • Show CDH/CDL Labels: Display level values • Update Frequency: Real-time updates as new highs/lows are made
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5. Trading Signals Signal Types
6. Breakout Signals • Bullish (Buy): Green triangle below candle when price breaks above OR High • Bearish (Sell): Red triangle above candle when price breaks below OR Low
7. Pattern-Enhanced Signals Signals are generated when breakouts occur WITH confirming patterns: • Stronger probability of follow-through • Reduced false breakouts • Better risk/reward setups Signal Configuration Alert Settings • Enable Alerts: Turn alerts on/off • Show Buy/Sell Signals: Visual signals on chart • Show Signal Text: Display "BUY"/"SELL" labels Pattern Filter Options • Use Candle Pattern Filter: Require patterns for signals • Pattern Combination Mode: o Any Pattern: Signal on any single pattern o Multiple Patterns: Require minimum pattern count o Specific Combo: Require specific pattern combinations
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6. Pattern Recognition Supported Patterns
7. Engulfing Pattern • Bullish Engulfing: Large green candle completely engulfs previous red candle • Bearish Engulfing: Large red candle completely engulfs previous green candle • Label: "E"
8. Hammer/Shooting Star • Hammer: Small body at top, long lower wick (2x body size) • Shooting Star: Small body at bottom, long upper wick (2x body size) • Labels: "H" (Hammer), "S" (Shooting Star)
9. Doji Pattern • Definition: Open and close nearly equal (body < 10% of average) • Significance: Indecision, potential reversal • Label: "D"
10. John Wick Pattern (Unique Feature) • Bullish John Wick: o Opens below previous candle's low o 30-70% of body extends below previous low o Strong momentum indication • Bearish John Wick: o Opens above previous candle's high o 30-70% of body extends above previous high • Label: "JW" Pattern Visualization • Pattern Markers: Small circular labels with pattern abbreviations • Pattern Count: Number showing total patterns detected • Pattern Background: Optional highlighting (disabled by default) • Positioning: o Bullish patterns: Below candles at varying distances o Bearish patterns: Above candles at varying distances
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7. Zone Trading Zone Concept Zones are buffer areas around key levels where price action and patterns are monitored more closely. Zone Types
8. Opening Range Zones • OR High Zone: Area around the OR High level • OR Low Zone: Area around the OR Low level • Purpose: Identify potential breakout or rejection areas
9. PDH/PDL Zones • PDH Zone: Area around Previous Day High • PDL Zone: Area around Previous Day Low • Purpose: Monitor reactions at key daily levels
10. CDH/CDL Zones • CDH Zone: Area around Current Day High • CDL Zone: Area around Current Day Low • Purpose: Track reactions at evolving intraday extremes • Dynamic Nature: These zones move as new highs/lows are established Zone Features • Visual Representation: Semi-transparent colored boxes • Customizable Size: Percentage-based calculation • Pattern Detection: Option to only detect patterns within zones • Bar Coloring: Candles change color when in zones Zone Trading Strategy
11. Wait for price to enter a zone
12. Look for pattern formation within the zone
13. Trade breakouts with pattern confirmation
14. Use zone boundaries as stop-loss references
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8. Alert Setup Creating Alerts Step 1: Basic Alert Setup
9. Right-click on the chart
10. Select "Add Alert"
11. Choose "ORB The Luxe" from Condition dropdown
12. Select alert type Step 2: Alert Types • Any alert() function call: All indicator alerts • Crossed above OR High: Bullish breakout • Crossed below OR Low: Bearish breakout Alert Messages Alerts include: • Session name (e.g., "New York") • Direction (above/below) • Level crossed • Pattern detected (if applicable) • Zone information (if in zone) Alert Best Practices
13. Set alerts after the OR is established (15+ minutes into session)
14. Use pattern filters to reduce false signals
15. Consider zone alerts for higher probability setups
16. Set stop-loss alerts at opposite OR level
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9. Trading Strategies Strategy 1: Classic ORB
10. Entry: o Long: Break above OR High o Short: Break below OR Low
11. Stop Loss: Opposite OR level
12. Target: 1:2 or 1:3 risk/reward
13. Best Time: First 2 hours after OR Strategy 2: ORB with Pattern Confirmation
14. Entry Requirements: o Breakout signal o At least one confirming pattern o Preferably within a zone
15. Stop Loss: Mid-point of OR
16. Target: Previous day's high/low or current day's high/low
17. Win Rate: Higher than classic ORB Strategy 3: Zone Rejection Trading
18. Setup: Price enters zone but fails to break OR
19. Entry: Reversal pattern in zone
20. Stop Loss: Just outside zone boundary
21. Target: Opposite OR level
22. Best For: Range-bound markets Strategy 4: Multi-Session Confluence
23. Look for: Alignment of multiple session ORs
24. Entry: Break of aligned levels
25. Confirmation: Pattern at confluence point
26. Target: Extended moves expected
27. Additional Edge: Watch for CDH/CDL tests during the session
Strategy 5: CDH/CDL Breakout Trading
1. Setup: Price approaches current day's high or low
2. Entry: Break and hold above CDH or below CDL
3. Confirmation: Volume increase or pattern formation
4. Stop Loss: Just inside the CDH/CDL level
5. Target: Measured move based on intraday range
6. Best For: Trending days with momentum Risk Management Rules • Position Size: Risk 1-2% per trade • Max Daily Loss: 3-5% of account • Avoid: First and last 15 minutes of session • Best Days: Tuesday through Thursday
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10. Best Practices Do's:
• Wait for OR to be established (15 minutes)
• Use multiple confirmations (pattern + zone + volume)
• Trade in the direction of the larger trend
• Set alerts to avoid missing opportunities
• Keep a trading journal of ORB trades
• Adjust zones based on market volatility
• Use proper position sizing Don'ts:
• Trade immediately at market open
• Ignore the overall market context
• Trade every OR breakout
• Use in choppy/low volume markets
• Set stops too close to entry
• Trade against strong trends
• Over-leverage positions Market Conditions Best Performance: • Trending days • High volume sessions • Economic news days • Clear market sentiment Avoid During: • Low volume holidays • Extremely choppy conditions • Major uncertainty events • End of month/quarter repositioning
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11. Troubleshooting Common Issues and Solutions Issue: No signals appearing Solutions: • Ensure "Show Buy/Sell Signals" is enabled • Check if pattern filter is too restrictive • Verify correct session is selected • Confirm market has broken OR levels Issue: Too many false signals Solutions: • Enable pattern filter requirement • Use "Multiple Patterns" mode • Trade only within zones • Increase zone size percentage Issue: Incorrect session times Solutions: • Check timezone settings • Verify exchange timezone option • Use custom session for specific needs • Ensure chart timeframe is appropriate Issue: Overlapping indicators Solutions: • Disable pattern markers if too cluttered • Turn off signal text • Hide PDH/PDL or CDH/CDL if not needed • Use "Show Current Only" option Performance Tips
12. Reduce Chart Load: Hide historical sessions
13. Clean View: Disable unused pattern types
14. Mobile Trading: Increase line widths for visibility
15. Multiple Monitors: Use different sessions per screen Getting Help • Check indicator settings tooltips • Test on demo account first • Document your settings for consistency • Join ORB trading communities for tips
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Conclusion The Opening Range Breakout with John Wick indicator is a powerful tool that combines time-tested ORB strategies with advanced pattern recognition. Success comes from understanding each component, practicing proper risk management, and adapting the tool to your trading style. Remember: No indicator guarantees profits. Always use proper risk management and continuous education to improve your trading results. Happy Trading!
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Version: 1.0 Last Updated: June 2025 Pine Script Version: 6