Decision Point Support and ResistanceIntroduction:
The Decision Point Support and Resistance Indicator plots unique time and price based support and resistance lines. Depending on the current time frame (1 minute, 1 hour, 1 day etc.), this indicator references preset higher time frames which I will refer to as parent time frames henceforth.
On each time frame, based on price action within its corresponding parent time frame, support and resistance lines are plotted on the chart at the start of the next parent time frame and extended for 360 candlesticks into the future.
This allows a manageable number of support and resistance lines to be live on the chart at any given time so that it does not become visually overwhelming. It also provides a time window in which each support and resistance line is active to be considered for use in analysis.
Description:
With all of the basic information about what this indicator does, lets delve deeper into the logic behind the lines.
This picture is a screenshot of the 1 minute chart of the S&P 500 emini futures. The default parent time frame for the 1 minute chart on all asset classes is 1 hour. This means that as long as the price action criteria that I will describe in a moment is met, then there will be a support and resistance line plotted at the beginning of each hour while on the 1 minute chart.
The rest of the parent time frame defaults for each current time frames is as follows:
Current Time Frame ------------- Default Parent Time Frame
5 Second --------------------------- 5 Minutes
15 Second ------------------------- 15 Minutes
30 Second ------------------------- 30 Minutes
1 Minute --------------------------- 1 Hour
5 Minute --------------------------- 4 Hours
15 Minute -------------------------- 12 Hours
30 Minute -------------------------- 1 Day
1 Hour ------------------------------ 3 Days
4 Hour ------------------------------ 2 Weeks
1 Day ------------------------------- 3 Months
1 Week ----------------------------- 12 Months
1 Month ---------------------------- 12 Months
Lets continue using the 1 Minute Chart as an example.
The price that each of the support and resistance lines are plotted at (with certain proprietary selection criteria withheld) is determined as follows:
- For Bullish Parent Time Frame Closes (e.g. while on 1 Minute Chart, 1 Hour closes Bullish), the script picks a price point within the parent time frame that is identified by my proprietary selection criteria as being the price point in which the market first "decided" to be bullish for the duration of the parent time frame. At the start of the next parent time frame, a line is plotted at the identified price point and extended for 360 candles into the future. If no price point meets the criteria, no line is plotted.
- For Bearish Parent Time Frame Closes (e.g. while on 1 Minute Chart, 1 Hour closes Bearish), the script picks a price point within the parent time frame that is identified by my proprietary selection criteria as being the price point in which the market first "decided" to be bearish for the duration of the parent time frame. At the start of the next parent time frame, a line is plotted at the identified price point and extended for 360 candles into the future. If no price point meets the criteria, no line is plotted.
This is the reason that this indicator is called the Decision Point Support and Resistance Indicator. It marks the point in which each parent time frame "decided" to be bullish or bearish and plots that point out into the future.
As the market has historically revisited these levels, they have served as highly effective support and resistance levels.
Features:
1. Adjust how far right the support and resistance lines extend
2. Change the color of support and resistance lines
- The lines that are generated from bullish or bearish parent time frames can be individually changed to different colors. This does not mean one should act as support and the other should act as resistance. I have yet to find a meaningful pattern between the bullish and bearish lines so I tend to keep them the same color, but feel free to try!
3. Change line style
4. Manually change default parent time frame to parent time frame of your choosing
- Toggle on "Use Manual Timeframe" to pick a new parent timeframe. This will increase or decrease the frequency of the lines. I felt that the defaults struck a good balance of useful information without becoming overwhelming. That said, please feel free to make that decision yourself by choosing the parent time frame that best suits you!
5. Change Lookback Period
- The default Lookback Period is 3000 candles. You can increase or decrease this for back testing or analysis purposes.
- At the start of a new parent timeframe, the indicator can get stuck while trying to load in new lines. When this happens it is helpful to change the lookback period by 1 (e.g. from 3000 to 3001) to prompt the indicator to load in the most recent support and resistance lines.
How to effectively use the Decision Point Support and Resistance Indicator:
This indicator can be used as stand alone support and resistance for analyzing entry and exit points. Its useful for narrowing down higher time frame zones such as order blocks, fair value gaps, or supply and demand zones from wide price ranges to single price points.
- The lines on the 5 second, 15 second, 30 second, and 1 minute charts are useful for scalping and day trading. Lines that appear on higher time frames are often effective exit points.
- The lines on the 5 minute, 15 minute, 30 minute, and 1 hour charts are useful for intermediate term trading or swing trading. Lines that appear on higher time frames are often effective exit points.
- The lines on the 4 hour, 1 Day, and 1 Week charts are useful for long term trading and investing or dollar cost averaging.
Limitations:
As this indicator plots price points from previous price ranges, it is most effective at catching retracements for continuation trades on your current time frame. It works best for internal range conditions and is less effective in external range conditions such as all time highs and lows.
In these external range conditions it can be helpful to change to a higher time frame for further analysis.
The Decision Point Support and Resistance Indicator is meant to be used to augment your current trading strategy. It is best used as confirmation of your analysis and to help narrow down entry and exit targets within your current strategy.
Conclusion:
The Decision Point Support and Resistance Indicator is the culmination of the close to 10 years of my trading career. I have spent years studying price action and thousands of hours creating, iterating, and refining the concepts underpinning this indicator. Every aspect of this indicator is based on my own entirely original concepts that I created to aid in my own trading. It is an honor to be able to share fruits of my labor with the trading community at large.
Disclaimer:
This indicator is intended for educational and demonstration purposes only and should not be construed as financial or investment advice. Past performance is not indicative of future results. Trading involves risk, and you should seek the advice of a qualified financial professional before making any trading decisions. We do not guarantee the accuracy, completeness, or reliability of this indicator, and we are not liable for any losses or damages incurred as a result of its use.
دعم ومقاومة
Price Action UltimateThe Price Action Ultimate indicator is an innovative tool designed to provide traders with a comprehensive view of price action based on either volume or touches. By default, the indicator displays touches, offering a unique perspective on price levels that have been frequently interacted with by the market.
At its core, the indicator divides the price range of a specified lookback period into a number of rows (default 25). For each row, it calculates either the volume traded or the number of times the price touched that level. This data is then visualized in two ways: as a histogram and as horizontal lines on the chart.
The histogram, displayed on the right side of the chart, represents the distribution of touches (or volume) across different price levels. Each bar in the histogram shows the number of touches and the percentage of total touches for that price level. The color of the bars ranges from a user-defined low activity color to a high activity color, providing a quick visual reference for the most active price levels.
The horizontal lines drawn across the chart represent the most significant levels based on touches (or volume). By default, the indicator displays the top 3 levels, but this can be adjusted. The thickness of these lines corresponds to the relative importance of each level - thicker lines indicate more touches or higher volume. This feature allows traders to quickly identify key support and resistance levels based on historical price action.
One of the most innovative aspects of this indicator is the option to fade older levels over time. When enabled, this feature gradually increases the transparency of lines as they age, with newer levels appearing more prominently. This helps traders focus on the most recent and relevant price action while still maintaining awareness of older, potentially significant levels.
The indicator offers flexibility in its display options. Users can choose to show levels based on volume, touches, or both. This allows traders to compare and contrast different perspectives on price action. Additionally, the indicator includes options to display a volume profile and a background fill for the analysis range, further enhancing its visual appeal and informational content.
What makes this indicator particularly valuable is its ability to provide a clear, uncluttered view of key price levels without relying on complex calculations or multiple indicators. It distills price action down to its essence - where price has spent the most time or where the most trading activity has occurred. This can be incredibly useful for identifying potential support and resistance levels, areas of consolidation, or possible breakout points.
For traders focused on price action strategies, this indicator offers a powerful tool to enhance their analysis. It provides a data-driven approach to identifying significant price levels, which can be used to inform entry and exit decisions, set stop losses, or anticipate potential market reactions.
This indicator is a tool to aid in market analysis and should not be used as the sole basis for trading decisions. Always combine multiple forms of analysis and practice proper risk management when trading. Past performance does not guarantee future results.
Liquidity VisualizerThe "Liquidity Visualizer" indicator is designed to help traders visualize potential areas of liquidity on a price chart. In trading, liquidity often accumulates around key levels where market participants have placed their stop orders or pending orders. These levels are commonly found at significant highs and lows, where traders tend to set their stop-losses or take-profit orders. The indicator aims to highlight these areas by drawing unbroken lines that extend indefinitely until breached by the price action.
Specifically, this indicator identifies and marks pivot highs and pivot lows, which are price levels where a trend changes direction. When a pivot high or pivot low is formed, it is represented on the chart with a horizontal line that continues to extend until the price touches or surpasses that level. The line remains in place as long as the level remains unbroken, which means there is potential liquidity still resting at that level.
The concept behind this indicator is that liquidity is likely to be resting at unbroken pivot points. These levels are areas where stop-loss orders or pending buy/sell orders may have accumulated, making them attractive zones for large market participants, such as institutions, to target. By visualizing these unbroken levels, traders can gain insight into where liquidity might be concentrated and where potential price reversals or significant movements could occur as liquidity is taken out.
The indicator helps traders make more informed decisions by showing them key price levels that may attract significant market activity. For instance, if a trader sees multiple unbroken pivot high lines above the current price, they might infer that there is a cluster of liquidity in that area, which could lead to a price spike as those levels are breached. Similarly, unbroken pivot lows may indicate areas where downside liquidity is concentrated.
In summary, this indicator acts as a "liquidity visualizer," providing traders with a clear, visual representation of potential liquidity resting at significant pivot points. This information can be valuable for understanding where price might be drawn to, and where large movements might occur as liquidity is targeted and removed by market participants.
Dynamic Darvas Lines [CHE] Dynamic Darvas Lines
Unlock Precision Trading with Dynamic Darvas Lines
Overview:
Dynamic Darvas Lines is an advanced trading indicator designed for traders seeking to enhance their market analysis and decision-making process. Building upon the classic Darvas Box theory, this indicator introduces dynamic zone detection and comprehensive customization features, making it an indispensable tool for both novice and experienced traders.
Key Features & Advantages:
1. Dynamic Zone Detection:
- Adaptive Boxes: Automatically identifies and adjusts support and resistance levels based on market volatility and price movements, ensuring that the indicator remains relevant in varying market conditions.
- Real-Time Updates: Continuously recalculates box boundaries, providing up-to-the-minute insights into potential breakout or reversal points.
2. Enhanced Signal Accuracy:
- Buy & Sell Signals: Generates clear and actionable buy and sell signals based on the crossover and crossunder of price with dynamic Darvas lines, helping traders capitalize on optimal entry and exit points.
- Signal Confirmation: Reduces false signals by requiring confirmation through multiple conditions, enhancing overall trade reliability.
3. Comprehensive Customization:
- Adjustable Parameters: Tailor the indicator to your specific trading style with customizable box length, signal colors, and plot shapes.
- Color Management: Differentiate between various market signals with intuitive color coding for buy/sell signals, box boundaries, and debug lines, enhancing visual clarity on your charts.
4. Advanced Visualization:
- Signal Circles: Visual markers highlight significant price levels where buy and sell signals are triggered, making it easier to spot opportunities at a glance.
- Debug Mode: Activate debug lines to display the lowest lows and highest highs within the defined box length, aiding in in-depth market analysis and strategy refinement.
5. Robust Alert System:
- Custom Alerts: Set up real-time alerts for buy and sell signals, ensuring you never miss critical trading opportunities even when you're away from your screen.
- Automated Notifications: Receive instant notifications directly through your trading platform, keeping you informed and ready to act.
6. Seamless Integration:
- Overlay Capability: Easily integrates with your existing charts, allowing you to combine Dynamic Darvas Lines with other technical indicators for a more comprehensive market view.
- Optimized Performance: Efficiently coded in Pine Script V5, ensuring smooth performance without lag, even on lower-end devices.
Use Cases:
- Trend Identification: Detect and follow market trends by observing the formation and breakout of dynamic Darvas boxes, helping you stay aligned with the market’s momentum.
- Breakout Trading: Capitalize on significant price movements when the price breaks out of established Darvas zones, indicating potential strong directional moves.
- Reversal Detection: Identify potential market reversals by monitoring when the price crosses under the lower Darvas line or above the upper Darvas line, signaling a change in market sentiment.
- Risk Management: Utilize the indicator’s clear support and resistance levels to set strategic stop-loss and take-profit points, enhancing your risk-reward ratio.
- Market Analysis: Combine with other technical tools and indicators to perform comprehensive market analysis, improving the accuracy of your trading strategies.
Why Choose Dynamic Darvas Lines ?
Dynamic Darvas Lines stands out with its blend of traditional Darvas Box principles and modern enhancements. Its dynamic nature ensures adaptability across different market conditions, while the extensive customization options provide traders with the flexibility to tailor the indicator to their unique trading strategies. Whether you’re aiming to identify trends, execute breakout trades, or manage risks more effectively, Dynamic Darvas Lines offers the precision and reliability you need to elevate your trading game.
Get Started Today:
Enhance your trading toolkit with Dynamic Darvas Lines and experience the difference in your market analysis and trading performance. Download now and take the first step towards more informed and strategic trading decisions!
Note: Always backtest any trading indicator and use it in conjunction with other analysis tools to develop a robust trading strategy. Trading involves risk, and it's essential to practice sound risk management.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Weekly Initial BalanceWeekly Initial Balance Indicator
The Weekly Initial Balance (IB) indicator is a powerful tool designed for traders to identify key support and resistance levels based on the market's initial activity at the start of each week. By analyzing the first 30 hours of trading.
Key Features:
Customizable IB Period: Define the start hour and duration of the initial balance period to suit your trading schedule and the specific market you are analyzing, I have it set at 30 hours by default.
IB High, Low, and Midpoint Levels: Automatically plots the high, low, and midpoint of the IB period, providing immediate visual reference to critical price levels.
Extension Levels: Calculate and display extension levels based on customizable percentages (e.g., 50%, 100%, 150%), allowing you to project potential breakout targets and identify areas of interest beyond the initial balance range.
Dynamic Lines and Labels: The indicator updates in real-time, extending lines and repositioning labels as new bars form, ensuring you always have the most current information.
Customizable Appearance: Adjust line styles, widths, colors, and label positions to match your charting preferences and improve visual clarity.
How to Use:
Set the IB Parameters:
Week Start Hour (UTC): Specify the hour when the weekly IB period begins. I use 1800EST as that is when the futures market opens.
IB Duration in Hours: Define how many hours constitute the IB period.
Configure Extension Levels:
Input the desired extension percentages to calculate levels beyond the IB range.
Customize Visual Settings:
Adjust line colors, styles, widths, and label offsets to tailor the indicator's appearance.
Interpret the Levels:
Use the IB high and low as immediate support and resistance levels.
Monitor the midpoint for potential pivot areas.
Watch for price interactions with extension levels to anticipate breakouts or reversals.
Benefits:
Identify Key Weekly Levels: Understand the market's initial sentiment each week to gauge potential trends.
Enhance Trading Strategies: Incorporate the IB levels into your trading plan for better entry and exit points.
Adaptable to Various Markets: Suitable for Forex, commodities, indices, and other markets where weekly analysis is beneficial.
Price Action Analyst [OmegaTools]Price Action Analyst (PAA) is an advanced trading tool designed to assist traders in identifying key price action structures such as order blocks, market structure shifts, liquidity grabs, and imbalances. With its fully customizable settings, the script offers both novice and experienced traders insights into potential market movements by visually highlighting premium/discount zones, breakout signals, and significant price levels.
This script utilizes complex logic to determine significant price action patterns and provides dynamic tools to spot strong market trends, liquidity pools, and imbalances across different timeframes. It also integrates an internal backtesting function to evaluate win rates based on price interactions with supply and demand zones.
The script combines multiple analysis techniques, including market structure shifts, order block detection, fair value gaps (FVG), and ICT bias detection, to provide a comprehensive and holistic market view.
Key Features:
Order Block Detection: Automatically detects order blocks based on price action and strength analysis, highlighting potential support/resistance zones.
Market Structure Analysis: Tracks internal and external market structure changes with gradient color-coded visuals.
Liquidity Grabs & Breakouts: Detects potential liquidity grab and breakout areas with volume confirmation.
Fair Value Gaps (FVG): Identifies bullish and bearish FVGs based on historical price action and threshold calculations.
ICT Bias: Integrates ICT bias analysis, dynamically adjusting based on higher-timeframe analysis.
Supply and Demand Zones: Highlights supply and demand zones using customizable colors and thresholds, adjusting dynamically based on market conditions.
Trend Lines: Automatically draws trend lines based on significant price pivots, extending them dynamically over time.
Backtesting: Internal backtesting engine to calculate the win rate of signals generated within supply and demand zones.
Percentile-Based Pricing: Plots key percentile price levels to visualize premium, fair, and discount pricing zones.
High Customizability: Offers extensive user input options for adjusting zone detection, color schemes, and structure analysis.
User Guide:
Order Blocks: Order blocks are significant support or resistance zones where strong buyers or sellers previously entered the market. These zones are detected based on pivot points and engulfing price action. The strength of each block is determined by momentum, volume, and liquidity confirmations.
Demand Zones: Displayed in shades of blue based on their strength. The darker the color, the stronger the zone.
Supply Zones: Displayed in shades of red based on their strength. These zones highlight potential resistance areas.
The zones will dynamically extend as long as they remain valid. Users can set a maximum number of order blocks to be displayed.
Market Structure: Market structure is classified into internal and external shifts. A bullish or bearish market structure break (MSB) occurs when the price moves past a previous high or low. This script tracks these breaks and plots them using a gradient color scheme:
Internal Structure: Short-term market structure, highlighting smaller movements.
External Structure: Long-term market shifts, typically more significant.
Users can choose how they want the structure to be visualized through the "Market Structure" setting, choosing from different visual methods.
Liquidity Grabs: The script identifies liquidity grabs (false breakouts designed to trap traders) by monitoring price action around highs and lows of previous bars. These are represented by diamond shapes:
Liquidity Buy: Displayed below bars when a liquidity grab occurs near a low.
Liquidity Sell: Displayed above bars when a liquidity grab occurs near a high.
Breakouts: Breakouts are detected based on strong price momentum beyond key levels:
Breakout Buy: Triggered when the price closes above the highest point of the past 20 bars with confirmation from volume and range expansion.
Breakout Sell: Triggered when the price closes below the lowest point of the past 20 bars, again with volume and range confirmation.
Fair Value Gaps (FVG): Fair value gaps (FVGs) are periods where the price moves too quickly, leaving an unbalanced market condition. The script identifies these gaps:
Bullish FVG: When there is a gap between the low of two previous bars and the high of a recent bar.
Bearish FVG: When a gap occurs between the high of two previous bars and the low of the recent bar.
FVGs are color-coded and can be filtered by their size to focus on more significant gaps.
ICT Bias: The script integrates the ICT methodology by offering an auto-calculated higher-timeframe bias:
Long Bias: Suggests the market is in an uptrend based on higher timeframe analysis.
Short Bias: Indicates a downtrend.
Neutral Bias: Suggests no clear directional bias.
Trend Lines: Automatic trend lines are drawn based on significant pivot highs and lows. These lines will dynamically adjust based on price movement. Users can control the number of trend lines displayed and extend them over time to track developing trends.
Percentile Pricing: The script also plots the 25th percentile (discount zone), 75th percentile (premium zone), and a fair value price. This helps identify whether the current price is overbought (premium) or oversold (discount).
Customization:
Zone Strength Filter: Users can set a minimum strength threshold for order blocks to be displayed.
Color Customization: Users can choose colors for demand and supply zones, market structure, breakouts, and FVGs.
Dynamic Zone Management: The script allows zones to be deleted after a certain number of bars or dynamically adjusts zones based on recent price action.
Max Zone Count: Limits the number of supply and demand zones shown on the chart to maintain clarity.
Backtesting & Win Rate: The script includes a backtesting engine to calculate the percentage of respect on the interaction between price and demand/supply zones. Results are displayed in a table at the bottom of the chart, showing the percentage rating for both long and short zones. Please note that this is not a win rate of a simulated strategy, it simply is a measure to understand if the current assets tends to respect more supply or demand zones.
How to Use:
Load the script onto your chart. The default settings are optimized for identifying key price action zones and structure on intraday charts of liquid assets.
Customize the settings according to your strategy. For example, adjust the "Max Orderblocks" and "Strength Filter" to focus on more significant price action areas.
Monitor the liquidity grabs, breakouts, and FVGs for potential trade opportunities.
Use the bias and market structure analysis to align your trades with the prevailing market trend.
Refer to the backtesting win rates to evaluate the effectiveness of the zones in your trading.
Terms & Conditions:
By using this script, you agree to the following terms:
Educational Purposes Only: This script is provided for informational and educational purposes and does not constitute financial advice. Use at your own risk.
No Warranty: The script is provided "as-is" without any guarantees or warranties regarding its accuracy or completeness. The creator is not responsible for any losses incurred from the use of this tool.
Open-Source License: This script is open-source and may be modified or redistributed in accordance with the TradingView open-source license. Proper credit to the original creator, OmegaTools, must be maintained in any derivative works.
Gann Square of 9Understanding the Gann Square of 9
Delve into the fascinating realm of W.D. Gann’s Square of 9, a tool that has intrigued traders for generations. As we explore the insights behind this unique structure, we’ll show you how our Gann Square of 9 Indicator can become a valuable asset in your trading toolkit.
The History of the Gann Square of 9
The story behind the Gann Square of 9 is as fascinating as the man who created it. W.D. Gann, a pioneering trader from the early 20th century, introduced a method that highlighted the connection between time and price. Rooted in ancient mathematics and geometry, Gann’s theory suggests that financial markets follow cyclical patterns, which are captured in the design of the Square of 9.
Core Principles of the Gann Square of 9
At its heart, the Gann Square of 9 is based on a numerical system that spirals outward from a central point. This unique arrangement allows traders to identify potential support and resistance levels in the market. Each number represents a possible pivot point, indicating shifts in market direction, aligned with Gann’s time-price equilibrium theory.
Applying the Gann Square in Market Analysis
The strength of the Gann Square of 9 lies in its ability to predict key moments in the market where significant price movements may occur. By utilizing our Gann Square of 9 Indicator, traders can easily pinpoint these crucial points, applying Gann’s principles to anticipate both market highs and lows. This section will guide you through practical applications of the Gann Square for making both short-term and long-term trading decisions.
Market Timing with the Gann Square of 9 Indicator
Unlock the potential of market timing and price prediction using our Gann Square of 9 Indicator. This versatile tool brings Gann’s trading insights into the modern world of finance. Here, you’ll find a detailed walkthrough on how to use the indicator to enhance your trading strategies.
Step-by-Step Guide
Input the Source Price: Open, High, Low, Close on specific Timeframe.
Set the Pip Value: Adjust the pip value according to the scale of your trades. The pip value helps define the precision of the price levels the calculator will generate.
Analyze Results: The generated grid displays a central value (your input price) surrounded by numbers representing possible support and resistance levels.
Use the Support and Resistance Levels: Below the grid, you’ll find specific support and resistance points. These are key price levels that can help you plan your trading strategy, such as entry or exit points.
Apply Gann's Trading Entries: At the bottom, suggested long and short trade entries, with targets and stop-loss levels, giving you essential tools for managing risk effectively.
By following these steps, you can effectively incorporate Gann’s time-tested techniques into modern market analysis. Our Gann Square of 9 Indicator simplifies complex calculations while offering powerful insights, helping you make informed trading decisions rooted in one of market analysis’s most influential theories.
Whether you’re new to Gann’s approach or a seasoned trader, this indicator is designed to provide valuable insights aligned with Gann’s original concepts while delivering a seamless user experience for today’s traders. With just a few clicks, you can transform market data into a geometric pattern of time and price, setting the stage for strategic trading based on the cyclical nature of financial markets.
Premium & Discount Delta Volume [BigBeluga]Premium & Discount Delta Volume is an advanced volume-based tool that helps traders identify zones of market imbalances by using the concepts of premium and discount pricing, commonly taught by ICT trader. It calculates and highlights periods where the market is trading at a premium (selling pressure is stronger) or a discount (buying pressure is stronger) and dynamically plots these zones over time. The indicator also calculates delta volume between buying and selling within these zones, showing shifts in market sentiment and potential areas for reversals or continuations.
🔵 IDEA
The Premium & Discount Delta Volume indicator is rooted in the ICT (Inner Circle Trader) concept of premium and discount zones. This concept divides the price action into two key zones:
Premium Zone : This area is where the market is trading at a level where sellers dominate, leading to more selling pressure. The idea is that the price is overvalued, and a potential drop could occur as the market reverts to a balanced state.
Discount Zone : This area is where the market is undervalued, with buyers dominating and applying upward pressure. Prices in this area often indicate opportunities to buy into strength as the market moves back to equilibrium.
At the core of the indicator is the delta volume, which measures the difference between buying and selling pressure within the premium and discount zones. When the delta volume is negative, it signals a downtrend with more selling pressure, while a positive delta volume signals an uptrend with more buying pressure. These zones and their associated delta values update dynamically, providing traders with real-time insights into market strength and potential price reversals.
The equilibrium in the middle of the premium and discount zones represents the balance point between buyers and sellers. When price moves away from equilibrium, it either enters the premium zone (potentially overbought) or the discount zone (potentially oversold), helping traders make more informed decisions based on volume and price structure.
🔵 KEY FEATURES & USAGE
Premium & Discount Zones:
The indicator automatically identifies and plots premium and discount zones on the chart. Premium zones count only negative (selling) volume, while discount zones count only positive (buying) volume. These zones are key areas of interest for identifying potential price reversals or continuations based on volume pressure.
Dynamic Delta Volume Calculation:
The indicator calculates delta volume between the premium and discount zones, showing the imbalance between buyers and sellers. A positive delta volume inside the discount zone suggests strong buying pressure, while a negative delta inside the premium zone suggests strong selling pressure. This helps traders quickly identify trends or market exhaustion.
Up Trend:
Down Trend:
Real-time Updates & Equilibrium Line:
The zones update dynamically every 100 bars or after price crosses them, ensuring that traders always have the most relevant market data. The equilibrium line in the middle of the zones helps traders gauge whether the market is balanced or moving into overbought (premium) or oversold (discount) territory.
Macro and Local Period Calculations:
The indicator allows traders to customize two different periods for analysis: a smaller lookback period (e.g., 50 bars) for short-term price action and a macro period (e.g., 200 bars) for larger trends. Each period has its own premium and discount zones, allowing for a multi-timeframe view of market strength.
Macro:
Both:
Color-coded background for Volume Pressure:
The background color of the smaller period premium and discount box changes based on delta volume. A positive delta turns the background blue, indicating higher buy pressure, while a negative delta turns the background red, signaling higher sell pressure.
🔵 CUSTOMIZATION
Toggle Premium & Discount: Traders can choose to display support and resistance levels based on the high and low points of the premium and discount zones.
Premium & Discount Lookback Period: Traders can adjust the lookback period to define the length of price action to be analyzed for premium and discount zones. A shorter period focuses on more recent market activity, while a longer period provides a broader view of trends.
Macro Highs/Lows Period: The indicator also offers a macro lookback period for identifying larger market trends and key levels of buying or selling volume.
Toggle Macro Levels: Macro levels help identify long-term price extremes, and traders can toggle this feature on or off as needed.
Tail ProbabilitiesThe Tail Probabilities indicator offers a sophisticated analysis of potential price distributions, providing traders with a probabilistic framework for forecasting future price behavior based on historical data. By estimating the likelihood of the price closing above or below specified thresholds, the indicator assists in evaluating market sentiment, volatility, and associated risks. The probability calculations are derived from a user-defined analysis window, which operates independently of the transform length window. The transform length parameter dictates the volume of historical data utilized in the calculations, and it must correspond to the window length applied in the mean and standard deviation lines indicator to ensure consistency in visual representation.
Overview of Plotted Probabilities
This indicator plots three core probabilities and their moving averages, involving four primary user inputs:
User Inputs
Tail Type: Allows the user to choose between analyzing the left tail (representing downside risk) or the right tail (representing upside potential).
Transform Window Length (Bars): Specifies the amount of historical data used to calculate the mean and standard deviation. This value must align with the window length applied in the mean and standard deviation lines indicator .
Analysis Period (Bars): Defines the number of historical bars used for probability analysis, setting the window over which probabilities are computed.
SMA Length (Bars): Specifies the length of the simple moving average (SMA) used to plot the historical average of the calculated probabilities. The SMA Length input allows users to plot a simple moving average of the calculated probabilities, providing a smoother historical average and helping to identify trends in the probability values over time.
Key Probabilities Plotted
Probability to Close Above or Below Upper Bound: Represents the likelihood that the price will close above or below an upper threshold derived from the mean and standard deviation lines indicator . This measure helps identify potential for significant upward or downward price movement, depending on the current price relative to the threshold.
Probability to Close Above or Below Mean: Indicates the probability of the closing price being either above or below the mean level, reflecting historical price tendencies and suggesting the presence of skewness in the price distribution.
Probability to Close Above or Below Lower Bound: Reflects the likelihood of the price closing above or below a lower threshold, offering insights into potential risk and directional movement.
The indicator adjusts based on the chosen tail type ("Left" or "Right"), thereby enabling users to assess both potential upward and downward price movements, making it adaptable to varying market conditions.
How Probabilities Are Calculated
The probabilities are calculated through a detailed analysis of historical price data over a user-specified analysis window. Below is an outline of the key steps involved in these calculations:
Calculate Mean and Standard Deviation: The mean and standard deviation are computed using the transform length window, which defines the historical data range employed.
Define Bounds: Upper, mean, and lower bounds are established based on the calculated mean and standard deviation, allowing identification of significant levels within the price distribution.
Count Events: The frequency with which the closing price crosses above or below these bounds is counted over the user-specified probability analysis window.
Calculate Probabilities: Probabilities are then computed as the percentage of observed events relative to the total number of observations in the analysis window.
For example, the probability of closing above the upper bound is calculated as:
Probability = (Number of times price closes above the upper bound) / (Total number of observations in the analysis window) * 100
Practical Usage
Risk Management: The indicator provides a quantitative measure of the probability of extreme price movements, aiding traders in setting stop-loss and take-profit levels based on statistical expectations.
Trend Analysis: The probability of closing above the mean can also serve as an indicator of potential skewness in the price distribution. Values above 50 indicate a right-skewed distribution, while values below 50 indicate a left-skewed distribution for the right tail probability. For the left tail probability, values over 50 indicate a left skew and values below 50 indicate a right skew in the distribution.
Scenario Analysis: By focusing on either the left or right tail, traders can quickly determine whether to prioritize downside protection or capitalize on upside potential. Depending on market conditions and whether the trader is long or short, both upward and downward movements can be analyzed, enabling a comprehensive risk assessment.
Limitations
While the Tail Probabilities indicator provides valuable probabilistic insights based on historical data, it is crucial to understand that historical performance does not guarantee future outcomes. Market dynamics are subject to rapid changes, and relying exclusively on historical probabilities may result in inaccurate assessments. Traders should use this indicator in conjunction with other technical analysis tools, fundamental analysis, and an understanding of broader market conditions to ensure robust decision-making.
Summary
The Tail Probabilities indicator is an advanced tool designed for traders seeking a probabilistic perspective on market behavior. By providing critical insights into the potential distribution of prices beyond significant thresholds, the indicator supports informed decision-making, whether in trending or uncertain market environments.
Multi Timeframe Breakout/Retest (Gap, FVG, B&R)📊 Breakout & Retest Multi-Timeframe Indicator - Support and Resistance Indicator 📊
In short, this indicator scans 4 timeframes of your choice to check if a proper breakout of your support and resistance lines you input has happened. It color-coats your support and resistance levels based on the type of breakout, labels the levels, and shows which timeframes have had a proper breakout in an interactive table. This tool is primarily used to determine when a breakout—whether Fair Value Gap (FVG), gap, or regular—has occurred, allowing you to confidently play the retest.
🔍 Types of Breakouts:
This indicator highlights three types of breakouts:
Regular Breakouts: Defined when a candle breaks above or below your level, then closes, and the next candle’s wick does not touch that level.
Gap Breakouts: A gap breakout occurs when we gap above or below the level—often happening on daily candle opens and closes.
FVG Breakouts: An FVG breakout happens when a breakout above or below your level forms a Fair Value Gap, with your level inside the gap. These breakouts tend to have stronger retests
📋 Interactive Table
The table helps you visualize which levels are experiencing a breakout and on which timeframes. It color-codes each level based on breakout activity:
🔴 Red: No active breakouts
🟢 Green: Active regular breakout
🔵 Blue: Active FVG breakout
🟡 Yellow: Active gap breakout
🎨 Color Coating & Minimum Timeframe Breakouts
To make sure you're playing a true breakout, you want confirmation on at least 3 of your chosen timeframes. This indicator has an adjustable "active minimum breakout" setting, which can be customized between 1 and 4 timeframes. I personally find that when a breakout occurs on at least 3 timeframes, the retest tends to have a higher success rate. But you can adjust this setting based on your strategy.
🔧 Future Updates (Follow for Updates):
🚨 Alerts: Set alerts for breakouts and retests.
⚙️ Improved Error Handling: For a smoother experience.
Trading Ranges + ZScoreOverview
The "Trading Ranges + ZScore" script is a versatile technical indicator developed for TradingView. This tool combines two powerful concepts—price ranges and Z-Score analysis—to help traders identify potential trend reversals, overbought/oversold conditions, and trend strength. The script dynamically calculates price ranges based on recent price action and utilizes Z-Score to detect deviations from a statistical norm, providing valuable insights for decision-making in both ranging and trending markets.
Features
Price Ranges: Calculates dynamic upper and lower price boundaries based on volatility and market structure.
Z-Score Oscillator: A statistical measure that highlights overbought/oversold conditions based on the deviation from a moving average.
Trend Detection: Identifies trend continuation or reversal points by comparing current price action against historical levels.
Customizable Alerts: Generates visual signals (diamonds and X crosses) for potential long/short entries and exits.
Visual Representation: Colors the bars based on Z-Score and trend direction, enhancing the chart’s readability and signal clarity.
Customizable Parameters: The script allows users to fine-tune perception length, analysis period, factor multiplier, and oscillator thresholds to fit different market conditions.
Key Input Parameters
Perception: The length used for calculating highest/lowest price points (default: 20).
Analysis: The length used for calculating the moving average and volatility (default: 100).
Factor: A multiplier to adjust the width of the price ranges (default: 2.0).
Oscillator Threshold: The overbought/oversold threshold for the Z-Score oscillator (default: 70).
Trend Filter: A boolean switch that filters signals based on trend direction.
Fill Zones: Option to color-fill between price levels when certain conditions are met.
Bullish/Bearish/Neutral Colors: Customizable colors for bullish, bearish, and neutral signals.
How It Works
Price Ranges Calculation:
The script calculates five levels: two upper boundaries, the average price level, and two lower boundaries. These levels are based on the highest/lowest prices over a user-defined period and adjusted by volatility (Average True Range).
When the price crosses either of these levels, it suggests a significant change in market direction, potentially indicating a trend reversal.
Z-Score Oscillator:
The Z-Score is a statistical measurement of a price's position relative to its moving average. The indicator calculates two variations:
Z-Score based on the absolute difference between the price and the moving average.
Z-Score based on standard deviation.
These oscillators help detect extreme conditions where the price is likely to revert (overbought/oversold zones).
Trend Detection and Signals:
The indicator generates potential buy/sell signals when the price crosses the predefined levels or based on the fast Z-Score crossing the overbought/oversold thresholds.
Weak long/short signals are shown when the faster Z-Score oscillator reaches extreme levels but trend filters are applied to avoid noise.
Bar Colors and Signal Shapes:
Bar colors change dynamically to reflect the trend direction and Z-Score conditions. Signals for potential trades are displayed using diamonds and X crosses, making it easy to spot opportunities visually.
Visuals and Plots
Bar Colors: Changes the bar color based on Z-Score and trend direction.
Z-Score Plot: Displays two Z-Score oscillators, the standard and a faster one for detecting quicker price deviations.
Overbought/Oversold Zones: Highlighted by upper and lower thresholds of the Z-Score.
Long/Short Signals: Uses diamond-shaped markers for strong long/short signals and X-shaped markers for weaker signals.
Dynamic Range Lines: Plots lines for key price levels (upper/lower boundaries, mid-range) based on the dynamic range calculations.
Usage Guide
Identify Overbought/Oversold Conditions: Look for the Z-Score reaching extreme positive or negative values. When combined with trend signals, these conditions often point to a potential reversal.
Follow the Trend: Use the trend filter option to focus only on trades in the direction of the prevailing trend, reducing false signals in ranging markets.
Watch for Range Breakouts: Pay attention to the upper and lower boundaries. Price crossing these levels often signals the start of a new trend or a major price movement.
Adjust Parameters: Tailor the perception length, analysis length, and multiplier to suit different asset classes or timeframes.
Customization
You can adjust the key parameters to adapt the indicator to different markets or personal trading preferences:
- Perception & Analysis Lengths: Control the sensitivity of the price range calculations.
- Factor Multiplier: Adjusts the width of the ranges, with higher values indicating larger zones.
- Oscillator Threshold: Modify the overbought/oversold levels to suit different market volatility.
- Trend Filter: Toggle on/off to focus on trend-following strategies or range-bound conditions.
- Visual Options: Customize colors for bullish, bearish, and neutral signals, as well as enable/disable the zone fills.
Volumetric Volatility Breaker Blocks [UAlgo]The "Volumetric Volatility Breaker Blocks " indicator is designed for traders who want a comprehensive understanding of market volatility combined with volume analysis. This indicator provides a clear visualization of significant volatility areas (or blocks), characterized by price movements that exceed a specific volatility threshold, as calculated using the ATR (Average True Range). The concept is enhanced by integrating volume-based insights, offering a view of market activity that helps users to recognize when significant price changes are being supported by an appropriate level of market participation.
The indicator calculates breaker blocks for both bullish and bearish market conditions, providing distinct visual elements that identify periods of high volatility and substantial volume divergence. The focus on both volume and volatility makes this tool versatile, allowing traders to assess the strength of price movements as well as areas where price might break above or below previously established levels.
It supports adjustable parameters, such as volatility length, smoothness factor, and volume display, allowing traders to fine-tune the indicator according to their trading strategy and market environment. The highlighted breaker blocks assist in identifying zones of potential price reversal or continuation, which can be critical for making informed trading decisions.
🔶 Key Features
Volatility-Based Block Identification: The indicator uses the Average True Range (ATR) to determine the volatility of the market. When the ATR exceeds a specified threshold (smooth ATR multiplied by a user-defined multiplier), it highlights these areas as volatility blocks. The idea is to mark periods where price activity is significantly divergent from normal conditions, which often signals market opportunities.
Volume Integrated Analysis: In addition to tracking volatility, the indicator incorporates volume data, allowing traders to see the amount of activity that occurs during these high-volatility periods. This helps in identifying whether a price movement is likely sustainable or whether it lacks market support.
User Adjustable Parameters: The indicator offers customization options for the volatility length (using ATR), smooth length, and multiplier for sensitivity adjustment. These settings enable users to modify the indicator’s responsiveness to market conditions.
The option to display the last few volatility blocks allows traders to manage clutter on their charts and focus only on the most recent significant data.
Mitigation Method: Users can select between different mitigation methods ("Close" or "Wick") to determine how blocks are broken. This adds an extra layer of adaptability, allowing traders to modify the indicator's response based on different price action strategies.
Dynamic Visual Representation: The indicator dynamically draws boxes for volatility blocks and shades them according to market direction, with split areas showing the bullish and bearish strength contributions. It also provides percentage volume for each block, helping traders understand the relative market participation during these moves.
🔶 Interpreting the Indicator
Identifying High Volatility Areas: When a new volatility block appears, it signifies that the market is experiencing higher-than-usual volatility, driven by increased ATR values. Traders should pay attention to these blocks, as they often indicate that a significant price move is occurring. Bullish blocks suggest upward pressure, whereas bearish blocks indicate downward pressure.
Volume Insights: The volume associated with each volatility block provides an insight into how much market participation accompanies these moves. Higher volume within a block implies that the market is actively supporting the price change, which may be a sign of continuation. Low volume suggests that the movement may lack the strength to persist.
Bullish vs. Bearish Strength Analysis: Each block is split into bullish and bearish strength, giving a clearer picture of what’s happening within the volatility period. If the bullish portion dominates, it indicates strong upward sentiment during that period. Conversely, if the bearish side is more prominent, there is more selling pressure. This breakdown helps in understanding intra-block market dynamics.
Volume Percentage Display: The indicator also displays the volume percentage in each block, which provides context for the strength of the move relative to recent market activity. Higher percentages mean more market engagement, which could confirm the legitimacy of a trend or a significant breakout.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Support Resistance ImportanceThe Support Resistance Importance indicator is designed to highlight key price levels based on the relationship between fractal occurrences and volume distribution within a given price range. By dividing the range into bins, the indicator calculates the total volume traded at each fractal level and normalizes the values for easy visualization. The normalized values represent an "importance score" for each price range, helping traders identify critical support and resistance levels where price action might react.
Key Features:
Fractal Detection:
The indicator detects Williams Fractals, which are specific price patterns representing potential market reversals. It identifies both upward fractals (potential resistance) and downward fractals (potential support).
Price Range Binning:
The price range is divided into a user-defined number of bins (default is 20). Each bin represents a segment of the total price range, allowing the indicator to bucket price action and track fractal volumes in each bin.
Volume-Based Importance Calculation:
For each bin, the indicator sums up the volume traded at the time a fractal occurred. The volumes are then normalized to reflect their relative importance.
The importance score is calculated as the relative volume in each bin, representing the potential influence of that price range. Higher scores indicate stronger support or resistance levels.
Normalization:
The volume data is normalized to allow for better comparison across bins. This normalization ensures that the highest and lowest volumes are scaled between 0 and 1 for visualization purposes. The smallest volume value is used to scale the rest, ensuring meaningful comparisons.
Visualization:
The indicator provides a table-based visualization showing the price range and the corresponding importance score for each bin.
Each bin is color-coded based on the normalized importance score, with blue or greenish shades indicating higher importance levels. The current price range is highlighted to help traders quickly identify relevant areas of interest.
Trading Utility:
Traders can use the importance scores to identify price levels where significant volume has accumulated at fractals. A higher importance score suggests a stronger likelihood of the price reacting to that level.
If a price moves towards a bin with a high score and the bins above it have much smaller values, it suggests that the price may "pump" up to the next high-scored range, similar to how price drops can occur.
Example Use Case:
Suppose the price approaches a bin with an importance score of 25, and the bins above have much smaller values. This suggests that price may break higher towards the next significant level of resistance, offering traders an opportunity to capitalize on the move by entering long positions or adjusting their stop losses.
This indicator is particularly useful for support and resistance trading, where understanding key levels of price action and volume can improve decision-making in anticipating market reactions.
Implied Volatility WallsThe Implied Volatility Walls (IVW) indicator is a powerful and advanced trading tool designed to help traders identify key market zones where price may encounter significant resistance or support based on volatility. Using implied volatility, historical volatility, and machine learning models, IVW provides traders with a comprehensive understanding of market dynamics. This indicator is especially useful for those who wish to forecast volatility-driven price movements and adjust their trading strategies accordingly.
How the Implied Volatility Walls (IVW) Works:
The Implied Volatility Walls (IVW) indicator uses a combination of historical price data and advanced machine learning algorithms to calculate key volatility levels and forecast future market conditions. It tracks cumulative volatility, identifies support and resistance zones, and detects liquidation bubbles to highlight critical price areas.
The main concept behind this tool is that price tends to move most of the time by the same amount, making it possible to average the past maximum excursion in order to obtain a validated area where traders can be able to see clearly that the price is moving more than normal.
This indicator primarily focuses on:
1. Volatility Zones: Potential support and resistance levels based on implied and historical volatility.
2. Machine Learning Volatility Forecast: A machine learning model that predicts high, medium, or low volatility for future market conditions.
3. Liquidation Detection: Highlights key areas of potential forced liquidations, where market participants may be forced out of their positions, often leading to significant price movements.
4. Backtesting and Win Rate: The indicator continuously monitors how effective its volatility-based predictions are, offering insights into the performance of its predictions.
Key Features:
1. Volatility Tracking:
- The IVW indicator calculates cumulative volatility by analyzing the range between the high and low prices over time. It also tracks volatility percentiles and separates the market conditions into high, medium, or low volatility zones, enabling traders to gauge how volatile the market is.
2. Volatility Walls (Upper and Lower Zones):
- Upper Volatility Wall (Red Zones): Represent resistance levels where the price might encounter difficulty moving higher due to excess in volatility. This zone is calculated based on the chosen percentile in the settings.
- Lower Volatility Wall (Blue Zones): Represent support levels where price may find buying support.
- These walls help traders visualize potential zones where reversals or breakouts could occur based on volatility conditions.
3. Machine Learning Forecast:
- One of the standout features of the IVW indicator is its machine learning algorithm that estimates future volatility levels. It categorizes volatility into high, medium, and low based on recent data and provides forecasts on what the next market condition is likely to be.
- This forecast helps traders anticipate market conditions and adapt their strategies accordingly. It is displayed on the chart as "Exp. Vol", providing insight into the future expected volatility.
4. VIX Adjustments:
- The indicator can be adjusted using the well-known **VIX (Volatility Index)** to further refine its volatility predictions. This enables traders to incorporate market sentiment into their analysis, improving the accuracy of the predictions for different market conditions.
5. Liquidation Bubbles:
- The Liquidation Bubbles feature highlights areas where large forced selling or buying events may occur, which are usually accompanied by spikes in volatility and volume. These bubbles appear when price deviates significantly from moving averages with substantial volume increases, alerting traders to potential volatile moves.
- Red dots indicate likely forced liquidations on the upside, and blue dots indicate forced liquidations on the downside. These bubbles can help traders spot moments of market stress and potential price swings due to liquidations.
6. Dynamic Volatility Zones:
- IVW dynamically adjusts support and resistance levels as market conditions evolve. This allows traders to always have up-to-date and relevant information based on the latest volatility patterns.
7. Cumulative Volatility Histogram:
- At the bottom of the chart, the purple histogram represents cumulative volatility over time, giving traders a visual cue of whether volatility is building up or subsiding. This can provide early signals of market transitions from low to high volatility, aiding traders in timing their entries and exits more accurately.
8. Backtesting and Win Rate:
- The IVW indicator includes a backtesting function that monitors the success of its volatility predictions over a selected period. It shows a Win Rate (WR) percentage (with 33% meaning that the machine learning algorithm does not bring any edge), representing how often the indicator's predictions were correct. This metric is crucial for assessing the reliability of the model’s forecasts.
9. Opening Range:
- At the beginning of a new session, the indicator will plot two lines indicating the high and the low of the first candle of the new time frame chosen.
Chart Breakdown:
Below is a description of what users see when using the Implied Volatility Walls (IVW) indicator on the chart:
Volatility Walls:
- Red shaded zones at the top represent upper volatility walls (resistance zones), while blue shaded zones at the bottom represent lower volatility walls (support zones). These areas show where price is likely to react due to high or low volatility conditions.
Liquidation Bubbles:
- Red and blue dots plotted above and below the price represent **liquidation bubbles**, indicating moments of market stress where volatility and volume spikes may force market participants to exit positions.
Cumulative Volatility Histogram:
- The purple histogram at the bottom of the chart reflects the buildup of cumulative volatility over time. Higher bars suggest increased volatility, signaling the potential for large price movements, while smaller bars represent calmer market conditions.
Real-Time Support and Resistance Levels:
- Solid and dashed lines represent current and historical support and resistance levels, helping traders identify price zones that have historically acted as volatility-driven turning points.
Gradient Bar Colors:
- The price bars change color based on their proximity to the volatility walls, with different colors representing how close the price is to these key levels. This color gradient provides a quick visual cue of potential market turning points.
Data Tables Explained:
Table 1: **Volatility Information Table (Top Right Corner):
- EV: Expected Volatility (based on the VIX FIX calculation from Larry Williams).
- +V and -V: Represents the adjusted volatility for upward (+V) and downward (-V) movements.
- Exp. Vol: Shows the expected volatility condition for the next period (High, Medium, or Low) based on the machine learning algorithm.
- WR: The Win Rate based on the backtesting of previous volatility predictions (three outcomes, so base Win rate is 33%, and not 50%).
Table 2: Expected Cumulative Range (Top Right Corner of the separated pane):
- Exp. CR: Expected Cumulative Range based on a machine learning algorithm that calculate the most likely outcome (cumulative range) based on the past days and metrics.
How to Use the Indicator:
1. Identify Key Support and Resistance Levels:
- Use the upper (red) and lower (blue) volatility walls to identify zones where the price is likely to face resistance or support due to volatility dynamics.
2. Forecast Future Volatility:
- Pay attention to the Expected Vol field in the table to understand whether the machine learning model predicts high, medium, or low volatility for the next trading session.
3. Monitor Liquidation Bubbles:
- Watch for red and blue bubbles as they can signal significant market events where volatility and volume spikes may lead to sudden price reversals or continuations.
4. Use the Histogram to Gauge Market Conditions:
- The cumulative volatility histogram shows whether the market is entering a high or low volatility phase, helping you adjust your risk accordingly and making you able to identify the potential of the rest of the chosen session.
5. Backtesting Confidence:
- The Win Rate (WR) provides insight into how reliable the indicator’s predictions have been over the backtested period, giving you additional confidence in its future forecasts, remember that considering the 3 scenarios possible (high volatility, medium and low volatility), the standard win rate is 33%, and not 50%!.
Final Notes:
The Implied Volatility Walls (IVW) indicator is a powerful tool for volatility-based analysis, providing traders with real-time data on potential support and resistance levels, liquidation bubbles, and future market conditions. By leveraging a machine learning model for volatility forecasting, this tool helps traders stay ahead of the market’s volatility patterns and make informed decisions.
Disclaimer: This tool is for educational purposes only and should not be solely relied upon for trading decisions. Always perform your own research and risk management when trading.
Support and Resistance HeatmapThe "Support and Resistance Heatmap" indicator is designed to identify key support and resistance levels in the price action by using pivots and ATR (Average True Range) to define the sensitivity of zone detection. The zones are plotted as horizontal lines on the chart, representing areas where the price has shown significant interaction. The indicator features a customizable heatmap to visualize the intensity of these zones, making it a powerful tool for technical analysis.
Features:
Dynamic Support and Resistance Zones:
Identifies potential support and resistance areas based on price pivots.
Zones are defined by ATR-based thresholds, making them adaptive to market volatility.
Customization Options:
Heatmap Visualization: Toggle the heatmap on/off to view the strength of each zone.
Sensitivity Control: Modify the zone sensitivity with the ATR Multiplier to increase or decrease zone detection precision.
Confirmations: Set how many touches a level needs before it is confirmed as a zone.
Extended Zone Visualization:
Option to extend the zones for better long-term visibility.
Ability to limit the number of zones displayed to avoid clutter on the chart.
Color-Coded Zones:
Color-coded zones help differentiate between bullish (support) and bearish (resistance) levels, providing visual clarity for traders.
Heatmap Integration:
Gradient-based color changes on levels show the intensity of touches, helping traders understand which zones are more reliable.
Inputs and Settings:
1. Settings Group:
Length:
Determines the number of bars used for the pivot lookback. This directly affects how frequently new zones are formed.
Sensitivity:
Controls the sensitivity of the zone calculation using ATR (Average True Range). A higher value will result in fewer, larger zones, while a lower value increases the number of detected zones.
Confirmations:
Sets the number of price touches needed before a level is confirmed as a support/resistance zone. Lower values will result in more zones.
2. Visual Group:
Extend Zones:
Option to extend the support and resistance lines across the chart for better visibility over time.
Max Zones to Display (maxZonesToShow):
Limits the maximum number of zones shown on the chart to avoid clutter.
3. Heatmap Group:
Show Heatmap:
Toggle the heatmap display on/off. When enabled, the script visualizes the strength of the zones using color intensity.
Core Logic:
Pivot Calculation:
The script identifies support and resistance zones by using the pivotHigh and pivotLow functions. These pivots are calculated using a lookback period, which defines the number of candles to the left and right of the pivot point.
ATR-Based Threshold:
ATR (Average True Range) is used to create dynamic zones based on volatility. The ATR acts as a buffer around the identified pivot points, creating zones that are more flexible and adaptable to market conditions.
Merging Zones:
If two zones are close to each other (within a certain threshold), they are merged into a single zone. This reduces overlapping zones and gives a cleaner visual representation of significant price levels.
Confirmation Mechanism:
Each time the price touches a zone, the confirmation counter for that zone increases. The more confirmations a zone has, the more reliable it is. Zones are only displayed if they meet the required number of confirmations as specified by the user.
Color Gradient:
Zones are color-coded based on the number of confirmations. A gradient is used to visually represent the strength of each zone, with stronger zones being more vividly colored.
Heatmap Visualization:
When the heatmap is enabled, the color intensity of the zones is adjusted based on the proximity of the price to the zone and the number of touches the zone has received. This helps traders quickly identify which zones are more critical.
How to Use:
Identifying Support and Resistance Zones:
After adding the indicator to your chart, you will see horizontal lines representing key support (bullish) and resistance (bearish) levels. These zones are dynamically updated based on price action and pivots.
Adjusting Zone Sensitivity:
Use the "ATR Multiplier" to fine-tune how sensitive the indicator is to price fluctuations. A higher multiplier will reduce the number of zones, focusing on more significant levels.
Using Confirmations:
The more times a price interacts with a zone, the stronger that zone becomes. Use the "Confirmations" input to filter out weaker zones. This ensures that only zones with enough interaction (touches) are plotted.
Activating the Heatmap:
Enabling the heatmap will provide a color-coded visual representation of the strength of the zones. Zones with more price interactions will appear more vividly, helping you focus on the most significant areas.
Best Practices:
Combine with Other Indicators:
This support and resistance indicator works well when combined with other technical analysis tools, such as oscillators (e.g., RSI, MACD) or moving averages, for better trade confirmations.
Adjust Sensitivity Based on Market Conditions:
In volatile markets, you may want to increase the ATR multiplier to focus on more significant support and resistance zones. In calmer markets, decreasing the multiplier can help you spot smaller, but relevant, levels.
Use in Different Time Frames:
This indicator can be used effectively across different time frames, from intraday charts (e.g., 1-minute or 5-minute charts) to longer-term analysis on daily or weekly charts.
Look for Confluences:
Zones that overlap with other indicators, such as Fibonacci retracements or key moving averages, tend to be more reliable. Use the zones in conjunction with other forms of analysis to increase your confidence in trade setups.
Limitations and Considerations:
False Breakouts:
In highly volatile markets, there may be false breakouts where the price briefly moves through a zone without a sustained trend. Consider combining this indicator with momentum-based tools to avoid false signals.
Sensitivity to ATR Settings:
The ATR multiplier is a key component of this indicator. Adjusting it too high or too low may result in too few or too many zones, respectively. It is important to fine-tune this setting based on your specific trading style and market conditions.
Previous Day Close (PVC)Indicator Description: Previous Day Close
This indicator visually represents the previous day's closing price, providing traders with a clear reference point on the chart. By marking this key level, it enhances your ability to analyze stock price movements and make informed trading decisions.
Key Features:
Visual Clarity: The previous day's close is prominently displayed, making it easy to spot significant price levels at a glance.
Enhanced Analysis: Use this indicator to identify potential support and resistance levels based on historical closing prices.
User-Friendly: Designed for simplicity, this indicator integrates seamlessly into your trading workflow.
Leverage the power of the previous day’s close to improve your trading strategy and gain a competitive edge in the market!
Zero-Lag MA Trend Levels [ChartPrime] The Zero-Lag MA Trend Levels indicator combines a Zero-Lag Moving Average (ZLMA) with a standard Exponential Moving Average (EMA) to provide a dynamic view of the market trend. This indicator uses a color-changing cloud to represent shifts in trend momentum and plots key levels when trend reversals are detected. The addition of trend level boxes helps identify significant price zones where market shifts occur, with retest signals aiding in spotting potential continuation or reversal points.
⯁ KEY FEATURES & HOW TO USE
⯌ Zero-Lag Moving Average (ZLMA) with EMA Cloud :
The indicator employs a Zero-Lag Moving Average (ZLMA) alongside a standard EMA.
series float emaValue = ta.ema(close, length) // EMA of the closing price
series float correction = close + (close - emaValue) // Correction factor for zero-lag calculation
series float zlma = ta.ema(correction, length) // Zero-Lag Moving Average (ZLMA)
The cloud between these averages changes color depending on the trend direction. During a downtrend, if the ZLMA begins to increase, the cloud partially turns green, signaling potential strength. Conversely, during an uptrend, if the ZLMA decreases, the cloud partially turns to the downtrend color (blue by default), indicating potential weakness.
Use : Traders can monitor the cloud's color shifts for early signs of changing momentum. A fully colored cloud aligning with the current trend indicates a strong directional move, while mixed colors suggest a potential trend change.
⯌ Trend Shift and Level Boxes :
Each time a crossover between the EMA and the ZLMA occurs, indicating a trend shift, the indicator plots a box around the price level where the shift occurred. This box remains on the chart to mark the price zone of the trend change.
Use : The boxes provide clear visual markers of where market sentiment shifted. These levels can act as support and resistance zones. Traders can use these boxes to identify potential entry or exit points when the market retests these key levels.
⯌ Retest Detection with Labels :
If the price action crosses a previously plotted trend level box, the indicator marks this event with triangle labels. An upward triangle (▲) appears when the price retests the top of a box during a bullish crossover, and a downward triangle (▼) appears when the price retests the bottom of a box during a bearish crossunder.
Use : These labels help traders identify potential continuation or reversal points at critical price levels, offering additional confirmation for trading decisions.
⯌ Dynamic Color-Coding :
The color of the ZLMA and the EMA is adjusted according to their current trend direction, with the ZLMA adopting green for upward trends and blue for downward trends. This visual representation makes it easier to quickly gauge the market's momentum at a glance.
Use : Traders can use the color-coding to quickly assess the strength and direction of the current trend, allowing for more informed decision-making.
⯁ USER INPUTS
Length : Sets the period for both the ZLMA and EMA calculations.
Trend Levels : Toggle to display the trend level boxes on the chart.
Colors (+ / -) : Define the colors for bullish and bearish trends.
⯁ CONCLUSION
The Zero-Lag MA Trend Levels - ChartPrime indicator offers a nuanced approach to trend detection by combining the ZLMA with a traditional EMA. Its dynamic cloud color changes, trend level boxes, and retest labels make it a versatile tool for traders seeking to identify trend shifts and key price zones effectively. By incorporating elements of support and resistance along with trend momentum, this indicator provides a comprehensive view of market dynamics for both trend-following and counter-trend trading strategies.
Support, Resistance & Liquidity Pool ZonesSupport, Resistance & Liquidity Pool Zones
This indicator automatically detects and plots support and resistance levels based on pivot points and highlights liquidity pool zones, areas where the trading volume exceeds the average over a set number of bars. It is designed to help traders identify key price levels and liquidity traps that can trigger significant market reactions.
Key Features:
Support & Resistance Levels:
The indicator identifies pivot highs and pivot lows as potential resistance and support levels, respectively.
You can customize the number of levels shown on the chart, making it easier to focus on the most recent and relevant price levels.
Liquidity Pool Zones:
The script detects liquidity pool zones, which are areas with above-average trading volume. These zones often act as regions of interest where price accumulation or distribution occurs, potentially leading to significant price moves.
Liquidity zones are shaded to help traders visually identify areas of high interest in the market.
Customizable Settings:
You can adjust the pivot period to fine-tune how the indicator calculates support and resistance.
Control the number of support/resistance levels displayed on the chart and the period used to detect liquidity pools.
Customize the colors for support, resistance, and liquidity zones to match your charting preferences.
Alerts:
The script includes built-in alerts for when the price breaks above resistance or falls below support, helping traders catch key breakout opportunities.
How It Works:
The script calculates support and resistance levels using pivot highs and lows based on the user-defined pivot period.
It monitors liquidity pool zones by comparing the current trading volume with the average volume over a customizable period. When the volume exceeds the set threshold, a liquidity pool zone is highlighted, providing insight into where the market may accumulate or distribute.
Alerts are triggered when the price breaks above the first resistance level or falls below the first support level, giving traders immediate notification of key market events.
How to Use:
Tune the Pivot Period: Adjust the pivot period to your preferred time horizon (default: 10 bars).
Set Liquidity Pool Parameters: Customize the number of bars considered for liquidity pool detection and the volume multiplier to detect high-volume zones.
Monitor Breakouts: Use the built-in alerts to catch potential breakout or breakdown opportunities near support and resistance levels.
This script is ideal for traders looking for an easy-to-use tool to visualize support and resistance levels and liquidity pools, aiding in decision-making and trade management.
Fibonacci Swing Trading BotStrategy Overview for "Fibonacci Swing Trading Bot"
Strategy Name: Fibonacci Swing Trading Bot
Version: Pine Script v5
Purpose: This strategy is designed for swing traders who want to leverage Fibonacci retracement levels and candlestick patterns to enter and exit trades on higher time frames.
Key Components:
1. Multiple Timeframe Analysis:
The strategy uses a customizable timeframe for analysis. You can choose between 4hour, daily, weekly, or monthly time frames to fit your preferred trading horizon. The high and low-price data is retrieved from the selected timeframe to identify swing points.
2. Fibonacci Retracement Levels:
The script calculates two key Fibonacci retracement levels:
0.618: A common level where price often retraces before resuming its trend.
0.786: A deeper retracement level, often used to identify stronger support/resistance areas.
These levels are dynamically plotted on the chart based on the highest high and lowest low over the last 50 bars of the selected timeframe.
3. Candlestick Based Entry Signals:
The strategy uses candlestick patterns as the only indicator for trade entries:
Bullish Candle: A green candle (close > open) that forms between the 0.618 retracement level and the swing high.
Bearish Candle: A red candle (close < open) that forms between the 0.786 retracement level and the swing low.
When these candlestick patterns align with the Fibonacci levels, the script triggers buy or sell signals.
4. Risk Management:
Stop Loss: The stop loss is set at 1% below the entry price for long trades and 1% above the entry price for short trades. This tight risk management ensures controlled losses.
Take Profit: The strategy uses a 2:1 risk-to-reward ratio. The take profit is automatically calculated based on this ratio relative to the stop loss.
5. Buy/Sell Logic:
Buy Signal: Triggered when a bullish candle forms above the 0.618 retracement level and below the swing high. The bot then places a long position.
Sell Signal: Triggered when a bearish candle forms below the 0.786 retracement level and above the swing low. The bot then places a short position.
The stop loss and take profit levels are automatically managed once the trade is placed.
Strengths of This Strategy:
Swing Trading Focus: The strategy is ideal for swing traders, targeting longer-term price moves that can take days or weeks to play out.
Simple Yet Effective Indicators: By only relying on Fibonacci retracement levels and basic candlestick patterns, the strategy avoids complexity while capitalizing on well-known support and resistance zones.
Automated Risk Management: The built-in stop loss and take profit mechanism ensures trades are protected, adhering to a strict 2:1 risk/reward ratio.
Multiple Timeframe Analysis: The script adapts to various market conditions by allowing users to switch between different timeframes (4hour, daily, weekly, monthly), giving traders flexibility.
Strategy Use Cases:
Retracement Traders: Traders who focus on entering the market at key retracement levels (0.618 and 0.786) will find this strategy especially useful.
Trend Reversal Traders: The strategy’s reliance on candlestick formations at Fibonacci levels helps traders spot potential reversals in price trends.
Risk Conscious Traders: With its 1% risk per trade and 2:1 risk/reward ratio, the strategy is ideal for traders who prioritize risk management in their trades.
Day & Swing Trading EMA Clouds with Adaptive LevelsDay & Swing Trading EMA Clouds with Adaptive Levels is a tool designed for traders who need a flexible indicator that adapts to both short-term (day trading) and long-term (swing trading) strategies. The indicator blends EMA clouds and adaptive support/resistance levels, making it suitable for analyzing trend strength and key price zones.
How It Works:
EMA Clouds for Trend Detection:
This indicator uses three EMAs (Fast, Intermediate, Slow) to create two clouds:
Fast Cloud: The area between the fast and Intermediate EMAs.
Slow Cloud: The area between the Intermediate and slow EMAs.
The cloud colors change based on trend direction:
Positive (uptrend): When the fast EMA is above the Intermediate EMA (turquoise) or the Intermediate EMA is above the slow EMA (teal).
Negative (downtrend): When the fast EMA is below the Intermediate EMA (pink) or the Intermediate EMA is below the slow EMA (magenta).
Traders can use these clouds to visually gauge market momentum and trend reversals.
Adaptive EMA Settings Based on Trading Mode:
The EMA lengths adjust automatically depending on whether you're in Day Trading or Swing Trading mode:
Day Trading Mode uses shorter periods to capture quick price movements:
Fast EMA: 5-period
Mid EMA: 13-period
Slow EMA: 21-period
Swing Trading Mode uses longer periods to capture broader trends:
Fast EMA: 12-period
Mid EMA: 26-period
Slow EMA: 50-period
This dynamic adjustment allows you to switch between trading styles seamlessly, with the EMAs reflecting the most relevant timeframes for each strategy.
Adaptive Support and Resistance Levels:
Depending on the selected trading mode, the indicator dynamically plots key levels:
Day Trading Mode: Previous day’s high, low, and midpoint, as well as 2-day levels.
Swing Trading Mode: Previous month’s high, low, and midpoint, as well as 2-month levels.
These levels act as dynamic support and resistance zones, giving traders critical areas to monitor for potential reversals or breakouts.
Buy & Sell Signals:
Visual buy/sell signals are generated when the fast EMA crosses above or below the slow EMA. These signals can help traders identify potential trend reversals.
Customization:
You can fully adjust the transparency and colors of the clouds to fit your personal preferences and trading style.
Why This Combination?
Combining EMA clouds with adaptive levels provides traders with a complete picture. The clouds highlight the underlying market momentum and trend strength, while the adaptive levels offer potential entry/exit points based on historical price action. This unique mashup allows traders to follow trends and plan trades around key support and resistance zones.
Periodic Linear Regressions [LuxAlgo]The Periodic Linear Regressions (PLR) indicator calculates linear regressions periodically (similar to the VWAP indicator) based on a user-set period (anchor).
This allows for estimating underlying trends in the price, as well as providing potential supports/resistances.
🔶 USAGE
The Periodic Linear Regressions indicator calculates a linear regression over a user-selected interval determined from the selected "Anchor Period".
The PLR can be visualized as a regular linear regression (Static), with a fit readjusting for new data points until the end of the selected period, or as a moving average (Rolling), with new values obtained from the last point of a linear regression fitted over the calculation interval. While the static method line is prone to repainting, it has value since it can further emphasize the linearity of an underlying trend, as well as suggest future trend directions by extrapolating the fit.
Extremities are included in the indicator, these are obtained from the root mean squared error (RMSE) between the price and calculated linear regression. The Multiple setting allows the users to control how far each extremity is from the other.
Periodic Linear Regressions can be helpful in finding support/resistance areas or even opportunities when ranging in a channel.
The anchor - where a new period starts - can be shown (in this case in the top right corner).
The shown bands can be visualized by enabling Show Extremities in settings ( Rolling or Static method).
The script includes a background gradient color option for the bands, which only applies when using the Rolling method.
The indicator colors can be suggestive of the detected trend and are determined as follows:
Method Rolling: a gradient color between red and green indicates the trend; more green if the output is rising, suggesting an uptrend, and more red if it is decreasing, suggesting a downtrend.
Method Static: green if the slope of the line is positive, suggesting an uptrend, red if negative, suggesting a downtrend.
🔶 DETAILS
🔹 Anchor Type
When the Anchor Type is set to Periodic , the indicator will be reset when the "Anchor Period" changes, after which calculations will start again.
An anchored rolling line set at First Bar won't reset at a new session; it will continue calculating the linear regression from the first bar to the last; in other words, every bar is included in the calculation. This can be useful to detect potential long-term tops/bottoms.
Note that a linear regression needs at least two values for its calculation, which explains why you won't see a static line at the first bar of the session. The rolling linear regression will only show from the 3rd bar of the session since it also needs a previous value.
🔹 Rolling/Static
When Anchor Type is set at Periodic , a linear regression is calculated between the first bar of the chosen session and the current bar, aiming to find the line that best fits the dataset.
The example above shows the lines drawn during the session. The offered script, though, shows the last calculated point connected to the previous point when the Rolling method is chosen, while the Static method shows the latest line.
Note that linear regression needs at least two values, which explains why you won't see a static line at the first bar of the session. The rolling line will only show from the 3rd bar of the session since it also needs a previous value.
🔶 SETTINGS
Method: Indicator method used, with options: "Static" (straight line) / "Rolling" (rolling linear regression).
Anchor Type: "Periodic / First Bar" (the latter works only when "Method" is set to "Rolling").
Anchor Period: Only applicable when "Anchor Type" is set at "Periodic".
Source: open, high, low, close, ...
Multiple: Alters the width of the bands when "Show Extremities" is enabled.
Show Extremities: Display one upper and one lower extremity.
🔹 Color Settings
Mono Color: color when "Bicolor" is disabled
Bicolor: Toggle on/off + Colors
Gradient: Background color when "Show extremities" is enabled + level of gradient
🔹 Dashboard
Show Dashboard
Location of dashboard
Text size
InvoTrading - Swing High and Low with BreakoutInvoTrading - Swing High and Low with Breakout Strategy
This strategy is designed to identify trading opportunities based on swing highs and lows, combined with breakout confirmations. It utilizes pivot points to detect potential reversal levels and initiates trades when the price breaks out of these levels under specific conditions.
Key Features:
- Pivot Points: The strategy calculates pivot highs and lows using customizable left and right bars. These pivots represent potential swing points in the market.
- Breakout Detection: It monitors for breakouts above pivot highs (Bullish Break of Structure - BOS) and below pivot lows (Bearish Break of Structure).
- Strong Swings (Optional): You can enable "Strong Swing" detection, which considers only those pivots where the price attempted but failed to break the pivot level, indicating stronger support or resistance.
- Trade Management: The strategy sets entry points, stop losses, and take profits based on a customizable risk-reward ratio.
- Trade Table: An optional table displays recent trades, including their status (Pending, Success, or Failed).
- Visual Aids: Customizable colors and line settings help visualize pivot points, strong swings, and breakout candles on the chart.
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Settings:
1. Pivot Settings:
- Left Bars: Number of bars to the left of the pivot point (default: 5).
- Right Bars: Number of bars to the right of the pivot point (default: 5).
- Pivot Based On: Choose between "High/Low" or "Close" prices for pivot calculations.
2. Color Settings:
- Pivot High Color: Color for Pivot High markers (default: Blue).
- Pivot Low Color: Color for Pivot Low markers (default: Red).
- Strong Swing High Color: Color for Strong Swing High markers (default: Black).
- Strong Swing Low Color: Color for Strong Swing Low markers (default: Black).
- Breakout Candle Color (BOS): Color for the breakout candle (default: Yellow).
3. Line Settings:
- Line Width: Width of the pivot lines (default: 1).
- Line Length (Bars): Length of the pivot lines in bars (default: 20).
- Maximum Number of Lines to Keep: Limits the number of pivot lines displayed to avoid clutter (default: 100).
4. Trade Settings:
- Enable Buy and Sell Signals: Activates trade entries and exits on the chart (default: False).
- Show Trades Table: Displays a table summarizing recent trades (default: False).
- Risk-Reward Ratio: Sets the desired risk-reward ratio for trades (default: 1.5).
- Number of Trades to Display: Maximum number of recent trades shown in the table (default: 5).
- Enable Strong Trade: Only triggers trades when a "Strong Swing" is detected (default: False).
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How It Works:
- Pivot Detection: The script identifies pivot highs and lows based on the specified number of left and right bars.
- Strong Swings: If enabled, the strategy marks a pivot as a strong swing if the price attempts to break it but closes back within the pivot level.
- Breakout Confirmation:
- Long Entry: Occurs when the price closes above a pivot high, signaling a bullish breakout. If "Strong Trade" is enabled, it must be a strong swing high.
- Short Entry: Occurs when the price closes below a pivot low, signaling a bearish breakout. If "Strong Trade" is enabled, it must be a strong swing low.
- Trade Execution: Upon a valid breakout, the strategy places a trade with a stop loss set at the previous candle's low (for longs) or high (for shorts). The take profit is calculated based on the specified risk-reward ratio.
- Trade Monitoring: The strategy updates the status of each trade (Pending, Success, Failed) based on whether the take profit or stop loss is hit.
- Visualization: Breakout candles are highlighted, and pivot lines are drawn with customizable colors and widths. Strong swings are marked distinctly.
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Usage Tips:
- Backtesting: Before using this strategy live, backtest it on different time frames and instruments to assess its performance.
- Customization: Adjust the pivot settings and risk-reward ratio to match your trading style and the volatility of the instrument you're trading.
- Risk Management: Always use proper risk management techniques, even though the strategy calculates stop losses and take profits.
Key Zone LocatorThe "Key Locator" indicator identifies important price levels on a chart by analyzing historical data. It does this by:
Counting Touches: It calculates how many times the price touches each level within a specified period. This helps identify levels that the market frequently interacts with, which can indicate significant support or resistance.
Measuring Volume: It also sums up the trading volume at each level during the same period. High volume at a particular level can suggest strong interest or activity, making that level more significant.s based on historical market activity.
By combining these two metrics—touches and volume—the indicator highlights the most important price level on the chart, helping traders make informed decisions based on where the market has shown significant activity in the past.
Level Calculation:
The indicator first identifies the highest and lowest prices over a specified period, which is determined by the length parameter. It then divides this price range into 200 equal segments, creating potential key levels across the chart. Each segment represents a level where the price might show significant activity.
Metric Calculation:
For each of these levels, the indicator calculates two key metrics. First, it counts how many times the price touches or crosses each level during the specified period. Second, it sums up the trading volume associated with these touches at each level. This dual analysis helps in identifying levels that are not only frequently interacted with but also have substantial trading activity.
Normalization:
To facilitate comparison between different levels, the indicator normalizes both the touch count and the volume for each level to a scale from 0 to 10. This involves dividing each metric by its maximum observed value in the period and scaling it accordingly, ensuring that both metrics are on a comparable scale.
Scoring and Balancing:
Each level is assigned a score based on a weighted average of its normalized touch and volume scores. The weight_balance parameter allows users to adjust the emphasis between touches and volume. A higher weight on touches will prioritize levels frequently interacted with, while more emphasis on volume will highlight levels with significant trading activity.
Identify Key Level:
Finally, the indicator identifies the level with the highest combined score as the most significant. This key level is plotted on the chart in red, providing traders with a visual indication of potential areas of support or resistance based on historical data.
This comprehensive approach allows traders to pinpoint where crucial market activity has occurred, aiding them in making strategic decisions based on historical price behavior and trading volumes.
Please note that while the "Key Locator" indicator provides valuable insights based on historical data, it does not guarantee future performance or outcomes. Trading involves risks, and it's important to use this tool in conjunction with other analysis methods and risk management strategies. Always consider your financial situation and consult with a financial advisor if necessary before making trading decisions.
