Z TRAP_Range Indicator Name: Z TRAP_Range
Primary Function:
This indicator is designed to identify and highlight price ranges on a TradingView chart. It detects periods of consolidation (when price remains within a defined range) and marks these areas using dynamic boxes. It also visualizes range breakouts and provides additional extension levels for potential price targets.
Features Overview:
Dynamic Range Detection:
Identifies price ranges based on a moving average (ma) and ATR (atr) calculations.
Considers a customizable minimum range length (length) to detect valid consolidation zones.
Highlights the range's top and bottom boundaries with colored boxes.
Breakout Visualization:
Green Box (upCss): Indicates upward breakout from the detected range.
Red Box (dnCss): Indicates downward breakout from the detected range.
Blue Box (unbrokenCss): Indicates that price remains within the range (consolidation).
Extension Levels:
Projects two upward and two downward extension levels based on the height of the detected range.
Helps identify potential price targets after a breakout.
Customizable Style Settings:
Change colors for breakout upward, breakout downward, and unbroken ranges.
Adjust ATR multiplier (mult) and range detection sensitivity.
Annotations:
Displays labels showing key price levels, including range top, bottom, and extension levels.
Provides details like the difference between the close price and the range level for better context.
Historical Context:
Maintains a visual record of previous ranges and breakouts on the chart.
Can handle overlapping ranges and dynamically adjust boundaries.
How the Indicator Works:
Range Detection:
When the price remains close to the moving average for the defined length of bars, a new range is detected. The range top and bottom are calculated using the ATR-based width (ma ± atr).
Breakout Detection:
If the price moves above the range top, an upward breakout is marked.
If the price moves below the range bottom, a downward breakout is marked.
If the price stays within the range, the box color remains blue.
Dynamic Updates:
Existing ranges are adjusted dynamically for overlaps, and new ranges are created when necessary.
Visual Elements:
Boxes:
Highlight price ranges with colors indicating breakout or consolidation.
Box colors dynamically change based on price action.
Lines:
Draw horizontal levels for the range’s top and bottom.
Extension lines project potential targets based on range height.
Labels:
Display price levels and their differences from the close price.
Show the height of each extension level for additional insights.
Customization Options:
Minimum Range Length: Adjust the sensitivity of range detection.
Range Width: Change the ATR multiplier for wider or narrower ranges.
ATR Length: Modify the ATR period for fine-tuning volatility sensitivity.
Color Settings: Customize box colors for upward, downward, and unbroken ranges.
Use Cases:
Consolidation Zones:
Identify accumulation or distribution phases where price is consolidating.
Breakout Trading:
Detect potential breakout opportunities and visualize target levels using range extensions.
Support and Resistance:
Use historical ranges as support/resistance zones for future price action.
How to Use:
Copy and paste the script into TradingView (create a new Pine Script v5 indicator).
Add the indicator to your chart and observe the visualized ranges and breakouts.
Adjust the input parameters to align with your trading style or instrument volatility.
Use the extension levels to plan entry, exit, or stop-loss placement for breakout trades.
This indicator is highly versatile and suits traders looking for structured price action analysis. It provides a clear and visually appealing way to track consolidation zones and breakout potential.
Pesquisar nos scripts por "breakout"
Dynamic Darvas BoxBu Darvas Box göstergesi, finansal piyasadaki potansiyel fiyat kırılımlarını hacimle birlikte analiz eden dinamik bir sistem sunar. Geliştirdiğiniz bu Pine Script, belirli bir "bakış aralığı" parametresi kullanarak geçmiş fiyat hareketlerinden yüksek ve düşük noktalar oluşturur ve bu seviyelerin kırılımını takip eder. Hacimli veya hacimsiz kırılımlar da ayrıca işaretlenir. Aşağıda hem Türkçe hem de İngilizce açıklamalar yer almakta:
Türkçe Açıklama:
Darvas Kutusu ve Hacim Kırılımı
Bu gösterge, fiyatların Darvas Kutusu mantığıyla analiz edilmesini sağlar ve kutunun kırılım seviyelerini hacimle birlikte değerlendirir.
Bakış Aralığı (bakis_araligi): Bu parametre, fiyatın geçmişte kaç bar geri giderek yeni bir yüksek veya düşük seviyenin tespit edilmesi gerektiğini belirler.
Hacim SMA (hacim_sma): Hacim için kullanılan basit hareketli ortalamanın (SMA) uzunluğunu belirler. Gösterge, hacim ortalamasının üzerinde veya altında olup olmadığını bu SMA değerine göre değerlendirir.
Kapanış Fiyatı ile Tamamlama (kapanis_kullan): Eğer bu seçenek aktifse, kutu kapanış fiyatı baz alınarak tamamlanır. Aksi takdirde, yüksek ve düşük seviyelerle tamamlanır.
Kırılım Fiyatını Göster (kirilim_goster): Hacim yetersiz olsa bile kırılım seviyesini etiketlemek için kullanılır.
Bu göstergede, yüksek bir fiyatın oluşması durumunda bir kutu başlatılır. Kutu, bakış aralığı boyunca yüksek ve düşük seviyeler ile onaylanır. Sonrasında, fiyatın kutu seviyesini kırıp kırmadığı izlenir. Eğer fiyat kutunun üzerine çıkarsa veya altına düşerse, hacim durumu kontrol edilerek bir "Hacimli Kırılım" veya "Hacimsiz Kırılım" etiketi gösterilir.
Kutu Arka Plan Renkleri: Kutu içerisindeki fiyat hareketinin durumu, renklerle gösterilir:
Yukarı Kırılım: Kutunun üst seviyesinin kırılması durumunda yeşil renk.
Aşağı Kırılım: Kutunun alt seviyesinin kırılması durumunda kırmızı renk.
Nötr: Kutu içinde tarafsız durum için sarı renk.
Ayrıca, kutunun orta hattı (orta_hat), yüksek ve düşük seviyelerin ortalamasını temsil eder ve fiyatın bu çizgiyi kaç kez kestiğini analiz etmek için kullanılabilir.
English Description:
Darvas Box and Volume Breakout
This indicator implements a dynamic Darvas Box strategy that tracks potential price breakouts in combination with volume analysis.
Lookback Period (bakis_araligi): This parameter defines how many bars back the price needs to look for determining a new high or low.
Volume SMA (hacim_sma): Specifies the length of the Simple Moving Average (SMA) for volume. The indicator uses this value to determine if volume is above or below average.
Completion with Closing Price (kapanis_kullan): If this option is enabled, the box is completed based on the closing price. Otherwise, the high and low prices are used for completion.
Show Breakout Price (kirilim_goster): This option is used to label the breakout price, even if the volume is below the average.
The indicator starts a box when a new high price is detected. The box is confirmed over the lookback period using high and low levels. The breakout levels are then monitored. If the price breaks above the upper or lower box boundary, it checks the volume condition and labels the breakout as either "Volume Breakout" or "Non-Volume Breakout."
Box Background Colors: The price movement within the box is represented with colors:
Upward Breakout: The background is green if the upper box boundary is broken.
Downward Breakout: The background is red if the lower boundary is broken.
Neutral: The background is yellow for neutral price movement within the box.
Additionally, the middle line (orta_hat) represents the average of the high and low levels and can be used to analyze how many times the price crosses this midline.
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.
Pivot Points LIVE [CHE]Title:
Pivot Points LIVE Indicator
Subtitle:
Advanced Pivot Point Analysis for Real-Time Trading
Presented by:
Chervolino
Date:
September 24, 2024
Introduction
What are Pivot Points?
Definition:
Pivot Points are technical analysis indicators used to determine potential support and resistance levels in financial markets.
Purpose:
They help traders identify possible price reversal points and make informed trading decisions.
Overview of Pivot Points LIVE :
A comprehensive indicator designed for real-time pivot point analysis.
Offers advanced features for enhanced trading strategies.
Key Features
Pivot Points LIVE Includes:
Dynamic Pivot Highs and Lows:
Automatically detects and plots pivot high (HH, LH) and pivot low (HL, LL) points.
Customizable Visualization:
Multiple options to display markers, price labels, and support/resistance levels.
Fractal Breakouts:
Identifies and marks breakout and breakdown events with symbols.
Line Connection Modes:
Choose between "All Separate" or "Sequential" modes for connecting pivot points.
Pivot Extension Lines:
Extends lines from the latest pivot point to the current bar for trend analysis.
Alerts:
Configurable alerts for breakout and breakdown events.
Inputs and Configuration
Grouping Inputs for Easy Customization:
Source / Length Left / Length Right:
Pivot High Source: High price by default.
Pivot Low Source: Low price by default.
Left and Right Lengths: Define the number of bars to the left and right for pivot detection.
Colors: Customizable colors for pivot high and low markers.
Options:
Display Settings:
Show HH, LL, LH, HL markers and price labels.
Display support/resistance level extensions.
Option to show levels as a fractal chaos channel.
Enable fractal breakout/down symbols.
Line Connection Mode:
Choose between "All Separate" or "Sequential" for connecting lines.
Line Management:
Set maximum number of lines to display.
Customize line colors, widths, and styles.
Pivot Extension Line:
Visibility: Toggle the display of the last pivot extension line.
Customization: Colors, styles, and width for extension lines.
How It Works - Calculating Pivot Points
Pivot High and Pivot Low Detection:
Pivot High (PH):
Identified when a high price is higher than a specified number of bars to its left and right.
Pivot Low (PL):
Identified when a low price is lower than a specified number of bars to its left and right.
Higher Highs, Lower Highs, Higher Lows, Lower Lows:
Higher High (HH): Current PH is higher than the previous PH.
Lower High (LH): Current PH is lower than the previous PH.
Higher Low (HL): Current PL is higher than the previous PL.
Lower Low (LL): Current PL is lower than the previous PL.
Visual Elements
Markers and Labels:
Shapes:
HH and LH: Downward triangles above the bar.
HL and LL: Upward triangles below the bar.
Labels:
Optionally display the price levels of HH, LH, HL, and LL on the chart.
Support and Resistance Levels:
Extensions:
Lines extending from pivot points to indicate potential support and resistance zones.
Chaos Channels:
Display levels as a fractal chaos channel for enhanced trend analysis.
Fractal Breakout Symbols:
Buy Signals: Upward triangles below the bar.
Sell Signals: Downward triangles above the bar.
Slide 7: Line Connection Modes
All Separate Mode:
Description:
Connects pivot highs with pivot highs and pivot lows with pivot lows separately.
Use Case:
Ideal for traders who want to analyze highs and lows independently.
Sequential Mode:
Description:
Connects all pivot points in the order they occur, regardless of being high or low.
Use Case:
Suitable for identifying overall trend direction and momentum.
Pivot Extension Lines
Purpose:
Trend Continuation:
Visualize the continuation of the latest pivot point's price level.
Customization:
Colors:
Differentiate between bullish and bearish extensions.
Styles:
Solid, dashed, or dotted lines based on user preference.
Width:
Adjustable line thickness for better visibility.
Dynamic Updates:
The extension line updates in real-time as new bars form, providing ongoing trend insights.
Alerts and Notifications
Configurable Alerts:
Fractal Break Arrow:
Triggered when a breakout or breakdown occurs.
Long and Short Signals:
Specific alerts for bullish breakouts (Long) and bearish breakdowns (Short).
Benefits:
Timely Notifications:
Stay informed of critical market movements without constant monitoring.
Automated Trading Strategies:
Integrate with trading bots or automated systems for executing trades based on alerts.
Customization and Optimization
User-Friendly Inputs:
Adjustable Parameters:
Tailor pivot detection sensitivity with left and right lengths.
Color and Style Settings:
Match the indicator aesthetics to personal or platform preferences.
Line Management:
Maximum Lines Displayed:
Prevent chart clutter by limiting the number of lines.
Dynamic Line Handling:
Automatically manage and delete old lines to maintain chart clarity.
Flexibility:
Adapt to Different Markets:
Suitable for various financial instruments including stocks, forex, and cryptocurrencies.
Scalability:
Efficiently handles up to 500 labels and 100 lines for comprehensive analysis.
Practical Use Cases
Identifying Key Support and Resistance:
Entry and Exit Points:
Use pivot levels to determine optimal trade entry and exit points.
Trend Confirmation:
Validate market trends through the connection of pivot points.
Breakout and Breakdown Strategies:
Trading Breakouts:
Enter long positions when price breaks above pivot highs.
Trading Breakdowns:
Enter short positions when price breaks below pivot lows.
Risk Management:
Setting Stop-Loss and Take-Profit Levels:
Utilize pivot levels to place strategic stop-loss and take-profit orders.
Slide 12: Benefits for Traders
Real-Time Analysis:
Provides up-to-date pivot points for timely decision-making.
Enhanced Visualization:
Clear markers and lines improve chart readability and analysis efficiency.
Customizable and Flexible:
Adapt the indicator to fit various trading styles and strategies.
Automated Alerts:
Stay ahead with instant notifications on key market events.
Comprehensive Toolset:
Combines pivot points with fractal analysis for deeper market insights.
Conclusion
Pivot Points LIVE is a robust and versatile indicator designed to enhance your trading strategy through real-time pivot point analysis. With its advanced features, customizable settings, and automated alerts, it equips traders with the tools needed to identify key market levels, execute timely trades, and manage risks effectively.
Ready to Elevate Your Trading?
Explore Pivot Points LIVE and integrate it into your trading toolkit today!
Q&A
Questions?
Feel free to ask any questions or request further demonstrations of the Pivot Points LIVE indicator.
Ultimate Trend SuiteThe Ultimate Trend Suite is a comprehensive trading indicator designed to enhance your market analysis and decision-making process. By integrating multiple technical analysis tools into a single, cohesive package, this indicator provides clear insights into market trends, momentum shifts, volatility conditions, and potential reversal points. It is tailored for traders seeking a deeper understanding of market dynamics without the need to interpret numerous separate indicators.
---
Key Features
The indicator offers a range of features that work together to provide a holistic view of the market:
- Dynamic Trend Line: A responsive trend line that adapts to price movements, highlighting the prevailing market direction. It helps you quickly identify whether the market is in an uptrend, downtrend, or consolidation phase.
- Strength and Weakness Dots: Visual markers indicating potential shifts in market momentum. These dots offer early signals of increasing buying (strength) or selling (weakness) pressure.
- Volatility Squeeze Detection: Identifies periods when the market is experiencing low volatility, which often precedes significant price movements. It alerts you to potential breakout opportunities so you can prepare your trading strategy accordingly.
- Reversal Signals: Highlights potential bullish or bearish reversal points in the market, assisting in spotting possible trend changes early for timely entry or exit decisions.
- Trend Bars: Colours the price bars based on the underlying trend direction, providing an immediate visual representation of market sentiment and simplifying chart analysis.
---
What Is It For?
The Ultimate Trend Suite is designed to simplify market analysis and enhance trading decisions. By consolidating multiple technical indicators into one, it reduces chart clutter and makes it easier to interpret market conditions. It is suitable for day traders, swing traders, and long-term investors across different markets such as forex, stocks, commodities, and cryptocurrencies. The indicator helps identify high-probability trade setups by highlighting key market conditions like trend strength and volatility compression.
---
How to Use
To effectively utilise the Ultimate Trend Suite, it's essential to understand how to interpret its signals and integrate them into your trading strategy.
Interpreting the Dynamic Trend Line
The Dynamic Trend Line adapts to price movements and changes its slope and colour based on market conditions:
- Uptrend Indication: If the Trend Line is sloping upward and possibly changing to a bullish colour, it indicates that the market is in an uptrend. This suggests that buying opportunities may be favorable. Traders might look to enter long positions, expecting prices to continue rising.
- Downtrend Indication: If the Trend Line is sloping downward and possibly changing to a bearish colour, it indicates that the market is in a downtrend. This suggests that selling opportunities or refraining from long positions may be prudent. Traders might consider short positions or protecting existing long positions.
- Consolidation Phase: A sideways-moving Trend Line may indicate a consolidation phase, signaling a lack of clear trend. In such cases, exercising caution and waiting for a breakout is advisable before committing to a new position.
Understanding Strength and Weakness Dots
The Strength and Weakness Dots provide visual cues about potential momentum shifts:
- Strength Dots (Bullish Signals): These appear below the price bars and suggest a potential increase in bullish momentum. When you see these dots, it may be an opportune time to consider entering long positions or adding to existing ones, anticipating that the upward momentum will continue.
- Weakness Dots (Bearish Signals): These appear above the price bars and indicate a potential increase in bearish momentum. These signals may prompt you to consider entering short positions or exiting long positions, expecting that prices may start to decline.
Utilising Volatility Squeeze Detection
The Volatility Squeeze Detection identifies periods of low volatility, which often precedes significant price movements:
- Volatility Squeeze Indication: When a shaded area appears on the chart, it signifies a volatility squeeze. This indicates that the market is experiencing compressed volatility, and a significant price movement may be imminent.
- Preparing for Breakouts: During a volatility squeeze, it's crucial to monitor the market closely for potential breakouts. This period suggests that the market is gathering momentum for a large move in either direction. By combining this information with other indicators or price action analysis, you can anticipate the direction of the breakout and prepare your trading strategy accordingly.
Recognising Reversal Signals
Reversal Signals help identify potential trend changes:
- Bullish Reversal Signal: An "R" symbol appears below a price bar, suggesting that a downtrend may be ending and an upward reversal is possible. You might consider entering a long position or closing a short position, especially if other indicators support this signal. This could be an early indication that buying pressure is increasing.
- Bearish Reversal Signal: An "R" symbol appears above a price bar, indicating that an uptrend may be ending and a downward reversal is possible. In this case, you might consider entering a short position or closing a long position. This suggests that selling pressure is gaining momentum.
Interpreting Trend Bars
Trend Bars provide immediate visual feedback on market sentiment:
- Bullish Trend Bars: Green-coloured bars indicate bullish trends and suggest that upward momentum is present. This visual cue reinforces the signals from the Dynamic Trend Line and Strength Dots, helping you confirm the strength of an uptrend.
- Bearish Trend Bars: Red-coloured bars indicate bearish trends, highlighting downward momentum. This complements signals from the Dynamic Trend Line and Weakness Dots, confirming the strength of a downtrend.
RVol LabelThis Code is update version of Code Provided by @ssbukam, Here is Link to his original Code and review the Description
Below is Original Description
1. When chart resolution is Daily or Intraday (D, 4H, 1H, 5min, etc), Relative Volume shows value based on DAILY. RVol is measured on daily basis to compare past N number of days.
2. When resolution is changed to Weekly or Monthly, then Relative Volume shows corresponding value. i.e. Weekly shows weekly relative volume of this week compared to past 'N' weeks. Likewise for Monthly. You would see change in label name. Like, Weekly chart shows W_RVol (Weekly Relative Volume). Likewise, Daily & Intraday shows D_RVol. Monthly shows M_RVol (Monthly Relative Volume).
3. Added a plot (by default hidden) for this specific reason: When you move the cursor to focus specific candle, then Indicator Value displays relative volume of that specific candle. This applies to Intraday as well. So if you're in 1HR chart and move the cursor to a specific candle, Indicator Value shows relative volume for that specific candlestick bar.
4. Updating the script so that text size and location can be customized.
Changes to Updated Label by me
1. Added Today's Volume to the Label
2. Added Total Average Volume to the Label
3. Comparison vs Both in Single Line and showing how much volume has traded vs the average volume for that time of the day
4. Aesthetic Look of the Label
How to Use Relative Volume for Trading
Using Relative Volume (RVol) in trading can be a valuable tool to help you identify potential trading opportunities and gain insight into market behavior. Here are some ways to use RVol in your trading strategy:
Identifying High-Volume Breakouts: RVol can help you spot potential breakouts when the volume surges significantly above its average. High RVol during a breakout suggests strong market interest, increasing the probability of a sustained move in the direction of the breakout.
Confirming Trends and Reversals: RVol can act as a confirmation tool for trends and reversals. A trend accompanied by rising RVol indicates a strong and sustainable move. Conversely, a trend with declining RVol might suggest a weakening trend or potential reversal.
Spotting Volume Divergence: When the price is moving in one direction, but RVol is declining or not confirming the move, it may indicate a divergence. This discrepancy could suggest a potential reversal or trend change.
Support and Resistance Confirmation: High RVol near key support or resistance levels can indicate potential price reactions at those levels. This confirmation can be valuable in determining whether a level is likely to hold or break.
Filtering Trade Signals: Incorporate RVol into your existing trading strategy as a filter. For example, you might consider taking trades only if RVol is above a certain threshold, ensuring that you focus on high-impact trading opportunities.
Avoiding Low-Volume Traps: Low RVol can indicate a lack of interest or participation in the market. In such situations, price movements may be erratic and less reliable, so it's often wise to avoid trading during low RVol periods.
Monitoring News Events: Around significant news events or earnings releases, RVol can help you gauge the market's reaction to the information. High RVol during such events can present trading opportunities but be cautious of increased volatility and potential gaps.
Adjusting Trade Size: During periods of extremely high RVol, it might be prudent to adjust your position size to account for higher risk.
Using Relative Volume in Morning Session
If the Volume traded in first 15 minute to 30 Minutes is already at 50% or 100% depending upon the ticker, it means that it is going to have very high Volume vs average by end of the day.
This gives me conviction for Long or Short Trades
Remember that RVol is not a standalone indicator; it works best when used in conjunction with other technical and fundamental analysis tools. Additionally, RVol's effectiveness may vary across different markets and trading strategies. Therefore, backtesting and validating the use of RVol in your trading approach is essential.
Lastly, risk management is crucial in trading. While RVol can provide valuable insights, it cannot guarantee profitable trades. Always use appropriate risk management strategies, such as setting stop-loss levels, and avoid overexposing yourself to the market based solely on RVol readings.
PATTERNPULSE / Stttrading F.VelazquezPATTERNPULSE
Discover a powerful tool for market analysis with the Velas Engulfing + RSI Indicator. Crafted by Stttrading Franco Velazquez, this indicator seamlessly blends engulfing candle patterns with the precision of the RSI filter. What sets it apart is its unique approach – signals are exclusively generated when the RSI reaches overbought or oversold conditions, providing a distinctive edge over conventional engulfing candle indicators.
Key Features :
Engulfing Candle Patterns: Identify both bullish and bearish engulfing candle formations.
RSI Integration: Harness the strength of the RSI indicator to evaluate market momentum and potential reversals.
Visual Signals: Enjoy clear and intuitive signals directly on your chart for seamless decision-making.
Configurable Alerts: Tailor the indicator to your preferences with customizable alerts for timely notifications.
Usage Instructions:
Engulfing Candles:
Visualize bullish and bearish candles through green and red triangles, respectively.
Capitalize on buying opportunities when bullish candles emerge and consider selling when bearish candles unfold.
RSI Indicator:
Leverage the RSI indicator to gauge overbought and oversold market conditions.
Fine-tune RSI levels based on your trading strategy and risk tolerance.
Alert System:
Set up alerts to stay informed about crucial market movements, ensuring you never miss a trading opportunity.
Custom Configuration:
RSI Source: Customize the data source for RSI calculations to suit your analysis.
RSI Length: Define the length of the RSI period for precise adjustments.
RSI Overbought and Oversold Levels: Tailor the overbought and oversold RSI thresholds to align with your trading preferences.
Important Note: Always conduct thorough analysis and implement proper risk management before executing trades.
Volume Profile in PatternPulse:
In the paid version of the PatternPulse indicator, an advanced Volume Profile tool is included, offering a detailed view of how volume is distributed across different price levels over a specific period. Here's how it works:
Show Volume Profile: You can toggle the display of the volume profile on the chart using the Show VP option.
Depth and Number of Bars Configuration: The tool allows you to adjust the Volume Profile Lookback Depth, which defines how many periods back will be analyzed to calculate the volume profile. You can also set the number of bars (VP Number of Bars) to be displayed on the chart, as well as the bar length and width to customize its appearance.
Delta Type: You can choose from different delta types for the volume profile: Bullish, Bearish, or Both. This enables you to focus on volumes associated with bullish price movements, bearish movements, or both.
Point of Control (POC): The tool also offers an option to extend the Point of Control (POC) line on the volume profile. The POC represents the price level with the highest traded volume during the analyzed period.
Customizable Colors: You can customize the colors of the volume profile bars and the Point of Control (POC) to match your visual preferences.
How to Use It:
The volume profile helps identify price levels where significant volume has been traded, which can be crucial for determining key support and resistance levels in the market. Adjust the parameters to fit your needs for a clear and precise visualization that supports your technical analysis.
Info Box in PatternPulse
In the paid version of PatternPulse, you'll find an info box that provides a comprehensive view of various market aspects. Here's how it works:
General Information: At the top of the info box, you'll see the title "PATTERNPULSEVIP® Info. BOX" in grey with orange text. This title helps you identify that you are viewing the information section.
CCL Dollar: The info box displays the value of the CCL (Contado con Liquidación) dollar for Argentina, which is an important reference for investors in that market.
Indices and Metals: This section includes information on the US Dollar Index (DXY), the Euro Index (EXY), as well as the prices of gold and silver.
Crypto Dominance: Here, you'll see the dominance of Bitcoin (BTC) and Ethereum (ETH) in the cryptocurrency market, helping you understand the influence of these cryptocurrencies on the global market.
MACD: The info box shows the current MACD (Moving Average Convergence Divergence) trend. The trend can be bullish or bearish, providing additional insight into market direction.
RSI: The current RSI (Relative Strength Index) value is also displayed. If the RSI indicates overbought conditions (above 75), the info box will turn teal with white text. If it indicates oversold conditions (below 25), the info box will turn maroon with white text.
Customization: You can adjust the horizontal offset of the info box from the chart and change the style and color of the text to suit your visual preferences.
This info box provides key data at a glance, making it easier to make informed decisions in your technical analysis. Adjust the settings according to your needs to get the most relevant information for your trading strategy.
Bollinger Bands in PatternPulse
In the paid version of PatternPulse, we’ve added the Bollinger Bands (BB) indicator to help you analyze market volatility and trends. Here’s a breakdown of how to use it:
1. Display Options:
Show BB: You can toggle the visibility of the Bollinger Bands on your chart using the "Show BB" option.
2. Configuration:
Length: Adjust the length of the moving average used to calculate the Bollinger Bands. The default is set to 20 periods, but you can modify it to fit your trading strategy.
Source: Choose the data source for the Bollinger Bands calculation, with the default being the closing price.
Standard Deviation: Set the number of standard deviations away from the moving average for the upper and lower bands. The default is 2.0, which is commonly used.
3. Plotting:
Basis: The middle line (basis) of the Bollinger Bands is plotted, which is a simple moving average (SMA) of the specified length.
Upper and Lower Bands: The upper and lower bands are plotted based on the standard deviation from the basis line.
Offset: Adjust the horizontal position of the bands on your chart to better align with your analysis needs.
4. Visualization:
Color: The Bollinger Bands and their background fill are color-coded for easy interpretation. The default colors are shades of blue, but you can customize them if needed.
These Bollinger Bands will help you to visualize price volatility and identify potential market opportunities based on how the price interacts with these bands. Adjust the settings according to your trading preferences to get the most out of this feature.
Parabolic SAR in PatternPulse
In the advanced version of PatternPulse, we've added the Parabolic SAR (PSAR) to help you identify potential trend changes in the market. Here's how this tool works:
1. Activating the Indicator:
Show PSAR: You can toggle the visibility of the Parabolic SAR using the "Show PSAR" option. This controls whether the indicator is displayed on your chart.
2. PSAR Settings:
Start: Adjust the initial value for the PSAR calculation. This value sets the starting point for the acceleration of the indicator.
Increment: Defines the rate at which the PSAR increases. This value increases the acceleration parameter with each new high or low.
Maximum Value: Sets the upper limit for the acceleration parameter. This prevents the indicator from moving too quickly in high-volatility conditions.
3. Visualization:
Color of the Dots: The PSAR dots are displayed in teal if the indicator is below the closing price, indicating a bullish trend. They are shown in maroon if the indicator is above the closing price, indicating a bearish trend.
How to Use It: The Parabolic SAR is useful for identifying potential reversal points in the market. When the indicator switches position relative to the price, it can signal a potential trend change. Use this indicator in conjunction with other analysis tools to make more informed trading decisions.
User Explanation EMAs
This part of the indicator utilizes Exponential Moving Averages (EMAs) to help you identify trends and potential entry or exit points in the market. Here’s how they work and how you can customize them:
What are EMAs?
Exponential Moving Averages (EMAs) are indicators that smooth out historical prices to identify the direction of the trend. Unlike Simple Moving Averages, EMAs give more weight to recent prices, making them more responsive to current price changes.
How Each EMA Works:
1° EMA (Adjustable Length):
Purpose: The first EMA provides a short-term view and can help identify recent movements and potential quick trend changes.
Customization: You can adjust the length of this EMA (number of periods) using the "1° EMA length" option.
2° EMA (Adjustable Length):
Purpose: The second EMA acts as a smoother filter, helping to confirm or discredit signals from the first EMA.
Customization: Adjust its length with "2° EMA length".
3° EMA (Adjustable Length):
Purpose: The third EMA provides a longer-term view, helping to identify mid-term trends and significant turning points.
Customization: Modify its length via "3° EMA length".
4° EMA (Adjustable Length):
Purpose: The fourth EMA represents the long-term trend, offering a perspective on the market’s overall direction.
Customization: Change its length using "4° EMA length".
Customizable Colors:
You can choose the colors for each EMA through the provided color options. This allows you to distinguish each EMA on your chart easily and customize its appearance according to your preferences.
EMA Crosses:
Small Crosses (1° and 2° EMAs):
Functionality: When the 1° EMA crosses above the 2° EMA, it may signal a buy (bullish cross). When it crosses below, it may signal a sell (bearish cross).
Visualization: You can enable or disable the display of these small crosses.
Large Crosses (3° and 4° EMAs):
Functionality: Crosses between the 3° and 4° EMAs help identify more significant trend changes. A bullish cross may indicate an uptrend, while a bearish cross may signal a downtrend.
Visualization: You can also enable or disable these large crosses on your chart.
How to Use This Information:
Trend Identification: EMAs help you see whether the market is in an uptrend or downtrend, and crosses between them can indicate potential trading opportunities.
Entry/Exit Signals: Crosses between EMAs can signal optimal times to enter or exit a position.
This set of EMAs provides you with a clear view of different time frames in the market, allowing you to make more informed trading decisions based on the current trend and price changes.
Support and Resistance
Support and Resistance levels are essential tools in technical analysis, helping traders identify key price levels where the market might reverse or pause. This feature of the indicator provides visual markers for these levels and tracks how the price interacts with them.
Parameters:
Lookback Range: Defines the number of bars to look back when identifying pivot points. A larger value considers more historical data.
Bars Since Breakout: Determines how many bars should have passed since a breakout to detect a potential retest.
Retest Detection Limiter: Limits the number of bars actively checked for confirming a retest after a breakout.
Breakouts and Retests: Options to enable or disable detection for breakouts and retests.
Repainting: Controls how the indicator updates based on different criteria such as candle confirmation or high/low values. This affects how often and in what way the indicator adjusts its markings.
Pivot Points:
Pivot Low and High: The indicator identifies key support (pivot lows) and resistance (pivot highs) points based on the historical price action within the defined lookback range.
Boxes and Labels:
Drawing Boxes: Visual boxes are drawn to represent support and resistance levels. These boxes adjust dynamically with price changes and can extend based on user settings.
Breakout Labels: Labels are created when a breakout occurs, marking the point where the price crosses these support or resistance levels.
Retest Labels: When a potential retest is detected, the indicator can label it to signal areas where the price might test the broken support or resistance.
Customization Options:
Box and Label Styling: Users can customize the style, color, and size of the boxes and labels representing support and resistance.
Text Color Override: Option to change the color of text labels independently from the default color settings.
Key Benefits:
Visual Clarity: Easily identify important levels on the chart.
Dynamic Updates: Levels adjust as new price data comes in, providing relevant and up-to-date information.
Customization: Tailor the appearance and behavior of the support and resistance markings to fit your trading style.
This feature enhances your chart analysis by clearly marking critical levels and events, making it easier to spot potential trading opportunities.
Explanation of the Simple Moving Averages (SMA) Functionality
Simple Moving Averages (SMAs) are technical analysis tools used to smooth out price data and identify market trends. This part of the code allows you to add two SMAs to the chart with customizable settings.
Configuration Parameters:
Show SMA 1 and SMA 2: Enables or disables the display of each moving average. You can choose to show SMA 1, SMA 2, or both on your chart.
SMA Length: Defines the number of periods used to calculate each SMA. For example, a length of 14 for SMA 1 and 50 for SMA 2. A longer length smooths the line more, while a shorter length follows price movements more closely.
SMA Source: Sets which price data (e.g., closing price) is used to calculate the SMA.
Color and Width of SMA: Allows you to customize the color and width of each SMA line to fit your visual preference or to clearly distinguish between different SMAs on the chart.
SMA Style: Provides options to change the line style of the SMA to solid, dashed, or dotted, so you can personalize the appearance according to your analysis style.
SMA Calculation:
Calculation: The SMA is calculated by averaging the closing prices (or selected source) over the specified number of periods. This helps to smooth out daily price fluctuations and reveals the overall trend.
Visualization:
Plot for SMA 1 and SMA 2: Draws the SMA lines on the chart according to the specified settings. If you choose to hide an SMA, it will not appear on the chart.
Line Style: The line is drawn according to the selected style (solid, dashed, or dotted), and you can adjust the thickness and color to suit your visual needs.
Key Benefits:
Trend Clarity: SMAs help smooth out price movement and allow you to see the general trend in the market.
Customization: You can adjust the length, color, thickness, and style of the lines to fit your analysis and visual preferences.
Facilitates Analysis: SMAs can be used to identify crossings and important trading signals, such as when a short-term SMA crosses above or below a longer-term SMA.
This functionality provides you with powerful tools to adjust and customize how moving averages are presented on your charts, making it easier to identify trends and signals in the market.
Thank you for exploring the features of our indicator! We hope you find the customization options and tools provided, including the Simple Moving Averages, valuable for your trading analysis. If you have any questions or need further assistance, please feel free to reach out.
We invite you to try out the complete PatternPulse indicator to experience its full range of functionalities and see how it can enhance your trading strategies. Your feedback is always appreciated!
Happy trading!
LOWESS (Locally Weighted Scatterplot Smoothing) [ChartPrime]LOWESS (Locally Weighted Scatterplot Smoothing)
⯁ OVERVIEW
The LOWESS (Locally Weighted Scatterplot Smoothing) [ ChartPrime ] indicator is an advanced technical analysis tool that combines LOWESS smoothing with a Modified Adaptive Gaussian Moving Average. This indicator provides traders with a sophisticated method for trend analysis, pivot point identification, and breakout detection.
◆ KEY FEATURES
LOWESS Smoothing: Implements Locally Weighted Scatterplot Smoothing for trend analysis.
Modified Adaptive Gaussian Moving Average: Incorporates a volatility-adapted Gaussian MA for enhanced trend detection.
Pivot Point Identification: Detects and visualizes significant pivot highs and lows.
Breakout Detection: Tracks and optionally displays the count of consecutive breakouts.
Gaussian Scatterplot: Offers a unique visualization of price movements using randomly colored points.
Customizable Parameters: Allows users to adjust calculation length, pivot detection, and visualization options.
◆ FUNCTIONALITY DETAILS
⬥ LOWESS Calculation:
Utilizes a weighted local regression to smooth price data.
Adapts to local trends, reducing noise while preserving important price movements.
⬥ Modified Adaptive Gaussian Moving Average:
Combines Gaussian weighting with volatility adaptation using ATR and standard deviation.
Smooths the Gaussian MA using LOWESS for enhanced trend visualization.
⬥ Pivot Point Detection and Visualization:
Identifies pivot highs and lows using customizable left and right bar counts.
Draws lines and labels to mark broke pivot points on the chart.
⬥ Breakout Tracking:
Monitors price crossovers of pivot lines to detect breakouts.
Optionally displays and updates the count of consecutive breakouts.
◆ USAGE
Trend Analysis: Use the color and direction of the smoothed Gaussian MA line to identify overall trend direction.
Breakout Trading: Monitor breakouts from pivot levels and their persistence using the breakout count feature.
Volatility Assessment: The spread of the Gaussian scatterplot can provide insights into market volatility.
⯁ USER INPUTS
Length: Sets the lookback period for LOWESS and Gaussian MA calculations (default: 30).
Pivot Length: Determines the number of bars to the left for pivot calculation (default: 5).
Count Breaks: Toggle to show the count of consecutive breakouts (default: false).
Gaussian Scatterplot: Toggle to display the Gaussian MA as a scatterplot (default: true).
⯁ TECHNICAL NOTES
Implements a custom LOWESS function for efficient local regression smoothing.
Uses a modified Gaussian MA calculation that adapts to market volatility.
Employs Pine Script's line and label drawing capabilities for clear pivot point visualization.
Utilizes random color generation for the Gaussian scatterplot to enhance visual distinction between different time periods.
The LOWESS (Locally Weighted Scatterplot Smoothing) indicator offers traders a sophisticated tool for trend analysis and breakout detection. By combining advanced smoothing techniques with pivot point analysis, it provides a comprehensive view of market dynamics. The indicator's adaptability to different market conditions and its customizable nature make it suitable for various trading styles and timeframes.
Volume-Adjusted Bollinger BandsThe Volume-Adjusted Bollinger Bands (VABB) indicator is an advanced technical analysis tool that enhances the traditional Bollinger Bands by incorporating volume data. This integration allows the bands to dynamically adjust based on market volume, providing a more nuanced view of price movements and volatility. The key qualities of the VABB indicator include:
1. Dynamic Adjustment with Volume: Traditional Bollinger Bands are based solely on price data and standard deviations. The VABB indicator adjusts the width of the bands based on the volume ratio, making them more responsive to changes in market activity. This means that during periods of high volume, the bands will expand, and during periods of low volume, they will contract. This adjustment helps to reinforce the significance of price movements relative to the central line (VWMA).
2. Volume-Weighted Moving Average (VWMA): Instead of using a simple moving average (SMA) as the central line, the VABB uses the VWMA, which weights prices by volume. This provides a more accurate representation of the average price level, considering the trading volume.
3. Enhanced Signal Reliability: By incorporating volume, the VABB can filter out false signals that might occur in low-volume conditions. This makes the indicator particularly useful for identifying significant price movements that are supported by strong trading activity.
How to Use and Interpret the VABB Indicator
To use the VABB indicator, you need to set it up on your trading platform with the following parameters:
1. BB Length: The number of periods for calculating the Bollinger Bands (default is 20).
2. BB Multiplier: The multiplier for the standard deviation to set the width of the Bollinger Bands (default is 2.0).
3. Volume MA Length: The number of periods for calculating the moving average of the volume (default is 14).
Volume Ratio Smoothing Length: The number of periods for smoothing the volume ratio (default is 5).
Interpretation
1.Trend Identification: The VWMA serves as the central line. When the price is above the VWMA, it indicates an uptrend, and when it is below, it indicates a downtrend. The direction of the VWMA itself can also signal the trend's strength.
2. Volatility and Volume Analysis: The width of the VABB bands reflects both volatility and volume. Wider bands indicate high volatility and/or high volume, suggesting significant price movements. Narrower bands indicate low volatility and/or low volume, suggesting consolidation.
3. Trading Signals:
Breakouts: A price move outside the adjusted upper or lower bands can signal a potential breakout. High volume during such moves reinforces the breakout's validity.
Reversals: When the price touches or crosses the adjusted upper band, it may indicate overbought conditions, while touching or crossing the adjusted lower band may indicate oversold conditions. These conditions can signal potential reversals, especially if confirmed by other indicators or volume patterns.
Volume Confirmation: The volume ratio component helps confirm the strength of price movements. For instance, a breakout accompanied by a high volume ratio is more likely to be sustained than one with a low volume ratio.
Practical Example
Bullish Scenario: If the price crosses above the adjusted upper band with a high volume ratio, it suggests a strong bullish breakout. Traders might consider entering a long position, setting a stop-loss just below the VWMA or the lower band.
Bearish Scenario: Conversely, if the price crosses below the adjusted lower band with a high volume ratio, it suggests a strong bearish breakout. Traders might consider entering a short position, setting a stop-loss just above the VWMA or the upper band.
Conclusion
The Volume-Adjusted Bollinger Bands (VABB) indicator is a powerful tool that enhances traditional Bollinger Bands by incorporating volume data. This dynamic adjustment helps traders better understand market conditions and make more informed trading decisions. By using the VABB indicator, traders can identify significant price movements supported by volume, improving the reliability of their trading signals.
The Volume-Adjusted Bollinger Bands (VABB) indicator is provided for educational and informational purposes only. It is not financial advice and should not be construed as a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results.
Volume change > 50% alert color coded GAAAPThis indicator, titled "Volume Change Alert," is designed to visually represent and alert traders to significant changes in trading volume on any given asset within the TradingView platform. The core functionality of the indicator revolves around detecting and highlighting instances where the volume of trades has experienced a notable increase compared to the previous trading period.
Key Features:
Percentage-Based Volume Change Detection: The indicator calculates the percentage change in trading volume from one bar to the next. This allows for a dynamic analysis of volume fluctuations that can be indicative of significant market events.
Threshold-Based Alerts: It employs a tiered alert system based on predefined volume increase thresholds:
Light Blue Highlight: When the volume increase is between 50% and 100%, the indicator marks the bar in light blue, signaling a moderate but noteworthy increase in trading activity.
Purple Highlight: An increase of more than 100% but less than 500% is highlighted in purple, indicating a substantial rise in volume that could be the result of significant market developments.
Black Highlight: For extraordinary situations where the volume increase exceeds 500%, the bar is highlighted in black, underscoring a dramatic surge in trading activity that could suggest major market moves.
Customizable Alerts: Traders can set up alerts based on these volume changes, allowing them to be notified in real-time when such conditions are met. This feature is invaluable for those looking to capitalize on volume-driven market opportunities or to monitor unusual market activity.
Visual and Textual Annotations: The indicator not only changes the color of the bars based on the volume increase but also attaches labels to these bars, providing the exact percentage increase in volume. This dual representation ensures that traders can quickly quantify the volume change at a glance.
Use Cases:
Identifying Breakouts: Sudden increases in volume can often precede or accompany price breakouts. Traders can use this indicator to spot potential breakouts as they are happening or to confirm the strength of a breakout based on the accompanying volume change.
Spotting Reversals: Significant changes in volume can also signal potential market reversals. A dramatic increase in volume might indicate the culmination of a trend and the potential start of a new one in the opposite direction.
Enhancing Trading Strategies: The indicator can be integrated into existing trading strategies to add a volume-based dimension to trading decisions, providing a more holistic view of market movements.
ORB With Buffer, Target & Stop LossThe "ORB With Buffer" is a comprehensive technical analysis tool designed to identify, plot, and visualize key levels associated with price breakouts. It offers a dynamic representation of breakout zones, buffer areas, target levels, and stop-loss levels on both sides of the market.
Key Features:
ORB Levels (Opening Range Breakout):
The indicator identifies and plots the Opening Range Breakout levels, marking the high and low points of the initial trading period. In our case the ORB range is locked to 15 Minutes irrespective of the chart's timeframe.
Buffer Areas for Breakout:
Buffer zones are displayed around the ORB levels, representing a range where traders cant wait to join the direction to counter fake ORB breakouts
Targets:
The indicator calculates and visualizes target levels. Approximately 1% of instrument's price from entry point
Stop Loss Levels:
Stop-loss levels are indicated on both sides of the market, offering traders a clear reference point to manage risk.
Scalp Tool
This script is primarily intended as a scalping tool.
The theory of the tool is based on the fact that the price always returns to its mean.
Elements used:
1. VWMA as a moving average. VWMA is calculated once based on source close and once based on source open.
2. the bands are not calculated like the Bollinger Band, but only a settlement is calculated for the lower bands based on the Lows and for the upper bands based on the Highs. Thus the bands do not become thicker or thinner, but remain in the same measure to the mean value above or below the price.
3. a volume filter on simple calculation of a MA with deviation. Therefore, it can be identified if a volume breakout has occurred.
4. support and resistance zones which are calculated based on the highs and lows over a certain length.
5. RSI to determine oversold and overbought zones. It also tries to capture the momentum by using a moving average (variable selectable) to filter the signals. The theory is that in an uptrend the RSI does not go below 50 and in a downtrend it does not go above 50.
However, this can be very different depending on the financial instrument.
Explanation of the signals:
The main signal in this indicator Serves for pure short-term trading and is generated purely on the basis of the bands and the RSI.
Only the first bands are taken into account.
Buy signal is generated when the price opens below the lower band 1 and closes above the lower band 1 or the RSI crosses a value of 25 from bottom to top.
Sell signal is generated when the price opens above the Upper Band 1 and closes below the Upper Band 1 or the RSI crosses a value of 75 from top to bottom.
The position should be closed when the price hits the opposite band. Alternatively, it can also be closed at the mean.
Other side signals:
1. breakouts:
The indicator includes 2 support and resistance zones, which differ only in length. For the breakout signals, the short version of the R/S is used. A signal is generated when the price breaks through the zones with increased volume. It is then assumed that the price will continue to follow the breakout.
The values of the S/R are adjustable and marked with "BK".
The value under Threshold 2 defines the volume breakout. 4 is considered as the highest value. The smaller the value, the smaller the volume must be during a breakout.
2. bounce
If the price hits a S/R (here the long variant is used with the designation "Support" or "Resistance") and makes a wick with small volume, the script assumes a bounce and generates a Sell or Buy signal accordingly.
The volume can be defined under "Threshold".
The S/R according to the designation as well.
Combined signals:
If the value of the S/R BK and the S/R is the same and the bounce logic of the S/R BK applies and an RSI signal is also generated, a signal is also plotted.
Here the idea was to get very strong signals for possible swing entries.
4. RSI Signals
The script contains two RSI.
RSI 1:
Bullish signal is generated when the set value is crossed from the bottom to the top.
Bearish signal is generated when the set value is crossed from the top to the bottom.
RSI 2:
Bullish signal is generated when the set value is crossed from the top to the bottom.
Bearish signal is generated when the set value is crossed from bottom to top.
For RSI 2 the theory is taken into account according to the description under Used elements point 5
Optical trend filter:
Also an optical trend filter was generated which fills the bands accordingly.
For this the VWMA is used and the two average values of the band.
Color definition:
Gray = Neutral
Red = Bearish
Green = Bullish
If the mean value is above the VWMA and the mean value based on the closing price is above the mean value based on the open price, the band is colored green. It is a bullish trend
If the mean value is below the VWMA and the mean value based on the closing price is below the mean value based on the open price, the band is colored red.
The band is colored gray if the mean value is correspondingly opposite. A sideways phase is assumed.
The script was developed on the basis of the pair BTCUSD in the 15 minute chart and the settings were defined accordingly on it. The display of S/R for forex pairs does not work correctly and should be hidden. The logic works anyway.
When using the script, all options should first be set accordingly to the asset and tested before trading afterwards. It applies of course also here that there is no 100% guarantee.
Also, a strong breakout leads to false signals and overheating of the indicator.
[TTI] Minervini STEM Model📜 ––––HISTORY & CREDITS 🏦
Introducing the Minervini STEM Model, an innovative indicator developed by Mark Minervini, an experienced trader and author renowned for his expertise in gauging the quality of breakouts. The Stock Tactical Environment Model (STEM) is designed to assess the trading environment based on the performance and setup of stocks, helping traders navigate various market conditions with ease.
🎯 ––––WHAT IT DOES 💡
The Minervini STEM Model measures the quality of breakouts in the stock market and provides valuable insights into the trading environment. The model is subjective based on the performance of the Mark Minervini Focus List on a 5 day rolling basis.
• What is the Mark Minervini Focus List?
- This is a private weekly watchlist of all the best setups provided by Mark Minervini in his Private Access Group
• How is the quality of breakouts measured?
- This is the subjective part of the indicator. A good breakout is one that has definite clear of a pivot, with a good close and strong volume. From then on there are strong follow through buys (consecutive up days with new highs) again with good (above average) volume signatures. When stocks start moving in earnest and together and breakouts happen with quality technical characteristics and keep on holding the new highs, then we have a good quality breakouts, otherwise if there are 'pop and drops' (breakout met with subsequent selling on the next days) - we have a bad quality breakouts.
• What is the 5 day rolling basis?
- As part of the methodology, I have included, how are the watchlist (Focus List) is performing on subsequent on the next 5 days. This means if we have 10 stocks on Friday, how many did close up in the following 5 days, do we have improvement compared to the previous week and the week before that, is there an overall trend of stocks gaining value or not. This also measures the quality of the bearjouts
🚨IMPORTANT! The model is largely subjective based on the various factors. Largely, I look at Mark Minervini's focus list and determine how it is performing on a 5 day rolling basis. Depending on how many of the Focus List stocks are closing down for the 5 day period (e.g. less than 60%) and how are all cumulatively performing, I adjust the model. It generates three distinct color-coded signals to indicate the effectiveness of breakouts and the overall market condition:
Color meanings
🟩Green: Breakouts are working well, indicating an easy dollar environment.
🟨Orange: The market is selective or highly rotational, signalling a need for caution.
🟥Red: Breakouts are not working well, suggesting a hard penny environment and high risk.
This color-coded system allows traders to quickly assess the market's health and adjust their trading strategies accordingly.
🛠️ ––––HOW TO USE IT 🔧
To effectively use the Minervini STEM Model, follow these steps:
1.Load the Minervini STEM Model script into your preferred charting platform.
2.Observe the color-coded signals displayed on your chart.
Interpret the signals as follows:
🟩Green: Breakouts are working well. Consider aggressive trading and increasing exposure.
🟨Orange: The market is selective or highly rotational. Exercise caution when trading and be selective with your stock setups.
🟥Red: Breakouts are not working well, and risk is high. Adopt maximum caution and consider reducing exposure or staying small until you gain traction.
By incorporating the Minervini STEM Model into your trading strategy, you can better gauge the quality of breakouts and the overall market condition, enabling you to make informed decisions on your trades. Remember to use this tool in conjunction with other technical indicators and risk management practices to optimize your success.
Key Levels (4H and Daily)Key Levels (4H and Daily)
This indicator highlights important key price levels derived from the 4-hour (4H) and daily (D) timeframes, providing traders with critical support and resistance areas. The levels are calculated using the highest highs and lowest lows over a customizable lookback period, offering a dynamic view of significant price points that could influence market movement.
Key Features:
Key Levels for 4H and Daily Timeframes:
The indicator calculates and displays the highest high and lowest low over a user-defined period for both the 4-hour and daily timeframes. This helps traders identify key support and resistance levels that could dictate the market's behavior.
Customizable Lookback Period:
Traders can adjust the lookback period (in days) for both the 4-hour and daily timeframes to reflect different market conditions. This flexibility ensures the levels are tailored to your preferred trading style and market conditions.
Horizontal Lines:
The indicator plots horizontal lines at the high and low levels for both timeframes. These levels serve as dynamic support and resistance areas and help traders monitor price action near these critical points.
Real-Time Updates:
The lines adjust automatically with each new bar, providing up-to-date key levels based on the most recent price action and trading session.
Alert Conditions:
Alerts are built-in to notify traders when the price breaks above or below these key levels. Traders can set up notifications to stay informed when significant market moves occur.
How to Use:
Support and Resistance: Use the levels as potential support and resistance areas where price could reverse. Price often reacts at these levels, providing potential trading opportunities.
Breakouts: Pay attention to breakouts above the high or below the low of these levels. A break above the 4H or daily high could indicate bullish momentum, while a break below could signal bearish trends.
Trend Confirmation: Combine these levels with other technical analysis tools to confirm the overall market trend and enhance your trading strategy.
Perfect for:
Day Traders: Use the 4-hour levels for intraday trading setups, such as potential reversals or breakouts.
Swing Traders: The daily levels provide longer-term insights, helping to identify key zones where price might pause, reverse, or break out.
Market Context: Ideal for those who want to contextualize their trades within broader timeframes, helping to understand the market’s structure at multiple time scales.
This description conveys the utility and functionality of the indicator, focusing on how it helps traders identify and monitor key levels that influence market action.
Market Structure Break with Volume & ATR#### Indicator Overview:
The *Market Structure Break with Volume & ATR (MSB+VolATR)* indicator is designed to identify significant market structure breakouts and breakdowns using a combination of price action, volume analysis, and volatility (ATR). It is particularly useful for traders who rely on higher timeframes for swing trading or positional trading. The indicator highlights bullish and bearish breakouts, retests, fakeouts, and potential buy/sell signals based on RSI overbought/oversold conditions.
---
### Key Features:
1. *Market Structure Analysis*:
- Identifies swing highs and lows on a user-defined higher timeframe.
- Detects breakouts and breakdowns when price exceeds these levels with volume and ATR validation.
2. *Volume Validation*:
- Ensures breakouts are accompanied by above-average volume, reducing the likelihood of false signals.
3. *ATR Filter*:
- Filters out insignificant breakouts by requiring the breakout size to exceed a multiple of the ATR.
4. *RSI Integration*:
- Adds a momentum filter by considering overbought/oversold conditions using RSI.
5. *Visual Enhancements*:
- Draws colored boxes to highlight breakout zones.
- Labels breakouts, retests, and fakeouts for easy interpretation.
- Displays stop levels for potential trades.
6. *Alerts*:
- Provides alert conditions for buy and sell signals, enabling real-time notifications.
---
### Input Settings and Their Effects:
1. **Timeframe (tf):
- Determines the higher timeframe for market structure analysis.
- *Effect*: A higher timeframe (e.g., 1D) reduces noise and provides more reliable swing points, while a lower timeframe (e.g., 4H) may generate more frequent but less reliable signals.
2. **Lookback Period (length):
- Defines the number of historical bars used to identify significant highs and lows.
- *Effect*: A longer lookback period (e.g., 50) captures broader market structure, while a shorter period (e.g., 20) reacts faster to recent price action.
3. **ATR Length (atr_length):
- Sets the period for ATR calculation.
- *Effect*: A shorter ATR length (e.g., 14) reacts faster to recent volatility, while a longer length (e.g., 21) smooths out volatility spikes.
4. **ATR Multiplier (atr_multiplier):
- Filters insignificant breakouts by requiring the breakout size to exceed ATR × multiplier.
- *Effect*: A higher multiplier (e.g., 0.2) reduces false signals but may miss smaller breakouts.
5. **Volume Multiplier (volume_multiplier):
- Sets the volume threshold for breakout validation.
- *Effect*: A higher multiplier (e.g., 1.0) ensures stronger volume confirmation but may reduce the number of signals.
6. **RSI Length (rsi_length):
- Defines the period for RSI calculation.
- *Effect*: A shorter RSI length (e.g., 10) makes the indicator more sensitive to recent price changes, while a longer length (e.g., 20) smooths out RSI fluctuations.
7. *RSI Overbought/Oversold Levels*:
- Sets the thresholds for overbought (default: 70) and oversold (default: 30) conditions.
- *Effect*: Adjusting these levels can make the indicator more or less conservative in generating signals.
8. **Stop Loss Multiplier (SL_Multiplier):
- Determines the distance of the stop-loss level from the entry price based on ATR.
- *Effect*: A higher multiplier (e.g., 2.0) provides wider stops, reducing the risk of being stopped out prematurely but increasing potential losses.
---
### How It Works:
1. *Breakout Detection*:
- A bullish breakout occurs when the close exceeds the highest high of the lookback period, with volume above the threshold and breakout size exceeding ATR × multiplier.
- A bearish breakout occurs when the close falls below the lowest low of the lookback period, with similar volume and ATR validation.
2. *Retest Logic*:
- After a breakout, if price retests the breakout zone without closing beyond it, a retest label is displayed.
3. *Fakeout Detection*:
- If price briefly breaks out but reverses back into the range, a fakeout label is displayed.
4. *Buy/Sell Signals*:
- A sell signal is generated when price reverses below a bullish breakout zone and RSI is overbought.
- A buy signal is generated when price reverses above a bearish breakout zone and RSI is oversold.
5. *Stop Levels*:
- Stop-loss levels are plotted based on ATR × SL_Multiplier, providing a visual guide for risk management.
---
### Who Can Use It and How:
1. *Swing Traders*:
- Use the indicator on daily or 4-hour timeframes to identify high-probability breakout trades.
- Combine with other technical analysis tools (e.g., trendlines, Fibonacci levels) for confirmation.
2. *Positional Traders*:
- Apply the indicator on weekly or daily charts to capture long-term trends.
- Use the stop-loss levels to manage risk over extended periods.
3. *Algorithmic Traders*:
- Integrate the buy/sell signals into automated trading systems.
- Use the alert conditions to trigger trades programmatically.
4. *Risk-Averse Traders*:
- Adjust the ATR and volume multipliers to filter out low-probability trades.
- Use wider stop-loss levels to avoid premature exits.
---
### Where to Use It:
- *Forex*: Identify breakouts in major currency pairs.
- *Stocks*: Spot trend reversals in high-volume stocks.
- *Commodities*: Trade breakouts in gold, oil, or other commodities.
- *Crypto*: Apply to Bitcoin, Ethereum, or other cryptocurrencies for volatile breakout opportunities.
---
### Example Use Case:
- *Timeframe*: 1D
- *Lookback Period*: 50
- *ATR Length*: 14
- *ATR Multiplier*: 0.1
- *Volume Multiplier*: 0.5
- *RSI Length*: 14
- *RSI Overbought/Oversold*: 70/30
- *SL Multiplier*: 1.5
In this setup, the indicator will:
1. Identify significant swing highs and lows on the daily chart.
2. Validate breakouts with volume and ATR filters.
3. Generate buy/sell signals when price reverses and RSI confirms overbought/oversold conditions.
4. Plot stop-loss levels for risk management.
---
### Conclusion:
The *MSB+VolATR* indicator is a versatile tool for traders seeking to capitalize on market structure breakouts with added confirmation from volume and volatility. By customizing the input settings, traders can adapt the indicator to their preferred trading style and risk tolerance. Whether you're a swing trader, positional trader, or algorithmic trader, this indicator provides actionable insights to enhance your trading strategy.
SigmaTrend Prime | QuantEdgeBIntroducing SigmaTrend Prime (STP) by QuantEdgeB
🛠️ Overview
SigmaTrend Prime (STP) is an advanced trend-following indicator that combines double exponential moving averages (DEMA) with a volatility-adjusted SuperTrend framework.
Unlike traditional ATR-based SuperTrends, STP dynamically adjusts trend thresholds using a standard deviation filter derived from price percentiles. This ensures that the trend signals remain highly adaptive, filtering out short-term noise while maintaining robustness across different market conditions.
By leveraging a DEMA core, STP minimizes lag while preserving strong trend identification, making it a powerful tool for traders looking to capture directional moves with enhanced precision.
_____
✨ Key Features
🔹 DEMA-Driven Trend Filtering
SigmaTrend Prime minimizes lag and enhances responsiveness using a double exponential moving average (DEMA) core.
🔹 Volatility-Adaptive SuperTrend
STP applies a percentile-based price smoothing technique, ensuring that the trend filter dynamically adjusts to market conditions.
🔹 Standard Deviation (SD) Filtering for Noise Reduction
By applying a rolling standard deviation derived from smoothed price action, STP eliminates false breakouts and enhances trend clarity.
🔹 Customizable Visual & Signal Settings
Includes multiple color modes, backtest metrics, and signal labels, making it highly adaptable for different trading styles.
📊 How It Works
1️⃣ DEMA-Based Trend Smoothing
SigmaTrend Prime uses DEMA (Double Exponential Moving Average) as its trend foundation, offering a smoother and more responsive trend structure:
🔹 Why DEMA?
✔ Minimizes lag compared to standard EMA.
✔ Maintains trend sensitivity while reducing market noise.
✔ Stronger confirmation of directional moves in volatile environments.
2️⃣ Adaptive Volatility Filtering with Standard Deviation (SD)
Unlike conventional SuperTrend indicators that rely on ATR for trend filtering, SigmaTrend Prime applies an SD-based smoothing mechanism.
📌 How it Works?
✔ Price Percentile Calculation → Uses percentile price ranking for better trend representation.
✔ Rolling Standard Deviation Calculation → Applies a volatility-adjusted filter to prevent false signals.
✔ Dynamic Trend Band Expansion → Factors (Factor1 & Factor2) multipliers to adjust trend sensitivity based on current price behavior.
🔹 Why SD-Based Filtering?
✔ More adaptive to different volatility regimes.
✔ Improves trend accuracy in both trending and ranging markets.
✔ Avoids excessive whipsaws common with ATR-based models.
3️⃣ Signal Generation & Trend Confirmation
SigmaTrend Prime detects trend shifts based on SD-filtered breakouts:
✅ Long Signal → Triggered when price crosses above the SuperTrend upper band.
❌ Short Signal → Triggered when price crosses below the SuperTrend lower band.
📌 Additional Features:
✔ Adaptive Signal Labels → Shows "Long" or "Short" trade signals dynamically.
✔ Trend-Following Mode → Stays in position until a confirmed reversal signal occurs.
✔ Customizable Sensitivity → Traders can adjust Factor1 & Factor2 multipliers and other settings to refine signal responsiveness.
👥 Who Should Use It?
✅ Trend Traders & Momentum Followers → Identify strong directional trends with greater accuracy.
✅ Swing & Position Traders → Gain precise trend confirmation signals for optimized entries/exits.
✅ Volatility-Aware Traders → Benefit from adaptive trend filtering based on real-time market conditions.
✅ Systematic & Quant Traders → Implement STP within automated trading systems for improved trend detection.
⚙️ Customization & Default Settings
🔧 Key Custom Inputs:
• DEMA Source (Default: HLC3) → Defines the price input for DEMA calculations.
• DEMA Length (Default: 30) → Controls the smoothing period for trend calculation.
• Percentile SD Length (Default: 10) → Determines historical percentile ranking for volatility
assessment.
• Volatility SD Length (Default: 30) → Defines rolling SD length for dynamic filtering.
• Trend Sensitivity Factors:
🔹 Factor1 (Default: 25) → Adjusts lower SD band responsiveness.
🔹 Factor2 (Default: 40) → Controls upper SD band expansion.
• Visual Customizations → Multiple color modes, backtest metrics, and trend labels available.
🚀 By default, STP is optimized for adaptive trend-following while remaining flexible for customization.
_____
📌 How to Use SigmaTrend Prime in Trading
1️⃣ Trend-Following Strategy (Momentum Confirmation)
✔ Enter long positions when STP confirms a bullish trend shift above its upper trend band.
✔ Enter short positions when STP confirms a bearish trend shift below its lower trend band.
✔ Stay in trades as long as STP maintains trend direction, filtering out false reversals.
2️⃣ Volatility-Adaptive Strategy (Dynamic Trend Adjustments)
✔ Use Factor1 & Factor2 adjustments to fine-tune STP’s sensitivity to price movements.
✔ Increase Factor1 for slower trend shifts and reduce Factor2 for more aggressive trend detection.
📌 Why?
• In high-volatility conditions, adjust trend bands wider to prevent whipsaws.
• In low-volatility conditions, tighten trend bands for faster signal responsiveness.
_____
📊 Backtest Mode
SigmaTrend Prime includes an optional backtest table, enabling traders to assess its historical effectiveness before applying it in live trading conditions.
🔹 Backtest Metrics Displayed:
• Equity Max Drawdown → Largest historical loss from peak equity.
• Profit Factor → Ratio of total profits to total losses, measuring system efficiency.
• Sharpe Ratio → Assesses risk-adjusted return performance.
• Sortino Ratio → Focuses on downside risk-adjusted returns.
• Omega Ratio → Evaluates return consistency & performance asymmetry.
• Half Kelly → Optimal position sizing based on risk/reward analysis.
• Total Trades & Win Rate → Assess STP’s historical success rate.
📌 Disclaimer:
Backtest results are based on past performance and do not guarantee future success. Always incorporate real-time validation and risk management in live trading.
🚀 Why This Matters?
✅ Strategy Validation → Gain insight into historical trend accuracy.
✅ Customization Insights → See how different STP settings impact performance.
✅ Risk Awareness → Understand potential drawdowns before deploying capital.
_____
📌 Conclusion
SigmaTrend Prime (STP) is an advanced trend-following solution that merges DEMA-based trend smoothing with standard deviation-adaptive filtering. By utilizing percentile-based price smoothing, STP enhances trend accuracy while ensuring that signals remain adaptive to different market environments.
🔹 Key Takeaways:
1️⃣ Lag-Minimized Trend Filtering – DEMA enhances trend responsiveness while reducing noise.
2️⃣ SD-Based Volatility Adaptation – More reliable than ATR-based trend models, reducing false breakouts.
3️⃣ Customizable & Dynamic – Easily fine-tune sensitivity settings for various market conditions.
📌 Master the market with precision and confidence | QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Volatility-Volume Index (VVI)Volatility-Volume Index (VVI) – Indicator Description
The Volatility-Volume Index (VVI) is a custom trading indicator designed to identify market consolidation and anticipate breakouts by combining volatility (ATR) and trading volume into a single metric.
How It Works
Measures Volatility : Uses a 14-period Average True Range (ATR) to gauge price movement intensity.
Tracks Volume : Monitors trading activity to identify accumulation or distribution phases.
Normalization : ATR and volume are normalized using their respective 20-period Simple Moving Averages (SMA) for a balanced comparison.
Interpretation
VVI < 1: Low volatility and volume → Consolidation phase (range-bound market).
VVI > 1: Increased volatility and/or volume → Potential breakout or trend continuation.
How to Use VVI
Detect Consolidation:
Look for extended periods where VVI remains below 1.
Confirm with sideways price movement in a narrow range.
Anticipate Breakouts:
A spike above 1 signals a possible trend shift or breakout.
Why Use VVI?
Unlike traditional volatility indicators (ATR, Bollinger Bands) or volume-based tools (VWAP), VVI combines both elements to provide a clearer picture of consolidation zones and breakout potential.
Johnny's Volatility-Driven Trend Identifier w/ Reversal SignalsJohnny's Volatility-Driven Trend Identifier w/ Reversal Signals is designed to identify high-probability trend shifts and reversals by incorporating volatility, momentum, and impulse-based filtering. It is specifically built for traders who want to capture strong trend movements while minimizing false signals caused by low volatility noise.
By leveraging Rate of Change (ROC), Relative Strength Index (RSI), and Average True Range (ATR)-based volatility detection, the indicator dynamically adapts to market conditions. It highlights breakout trends, reversals, and early signs of momentum shifts using strategically placed labels and color-coded trend visualization.
Inspiration taken from Top G indicator .
What This Indicator Does
The Volatility-Driven Trend Identifier works by:
Measuring Market Extremes & Momentum:
Uses ROC normalization with standard deviation to identify impulse moves in price action.
Implements RSI filtering to determine overbought/oversold conditions that validate trend strength.
Utilizes ATR-based volatility tracking to ensure signals only appear when meaningful market movements are occurring.
Identifying Key Trend Events:
Power Peak (🔥): Marks a confirmed strong downtrend, ideal for shorting opportunities.
Surge (🚀): Indicates a confirmed strong uptrend, signaling a potential long entry.
Soft Surge (↗): Highlights a mild bullish reentry or early uptrend formation.
Soft Peak (↘): Shows a mild bearish reentry or early downtrend formation.
Providing Adaptive Filtering for Reliable Signals:
Filters out weak trends with a volatility check, ensuring signals appear only in strong market conditions.
Implements multi-level confirmation by combining trend strength metrics, preventing false breakouts.
Uses gradient-based visualization to color-code market sentiment for quick interpretation.
What This Indicator Signals
Breakouts & Impulse Moves: 🚀🔥
The Surge (🚀) and Power Peak (🔥) labels indicate confirmed momentum breakouts, where the trend has been validated by a combination of ROC impulse, RSI confirmation, and ATR volatility filtering.
These signals suggest that the market is entering a strong trend, and traders can align their entries accordingly.
Early Trend Formation & Reentries: ↗ ↘
The Soft Surge (↗) and Soft Peak (↘) labels indicate areas where a trend might be forming, but is not yet fully confirmed.
These signals help traders anticipate potential entries before the trend gains full strength.
Volatility-Adaptive Trend Filtering: 📊
Since the indicator only activates in volatile conditions, it avoids the pitfalls of low-range choppy markets where false signals frequently occur.
ATR-driven adaptive windowing allows the indicator to dynamically adjust its sensitivity based on real-time volatility conditions.
How to Use This Indicator
1. Identifying High-Probability Entries
Bullish Entries (Long Trades)
Look for 🚀 Surge signals in an uptrend.
Confirm with RSI (should be above 50 for momentum).
Ensure volatility is increasing to validate the breakout.
Use ↗ Soft Surge signals for early entries before the trend fully confirms.
Bearish Entries (Short Trades)
Look for 🔥 Power Peak signals in a downtrend.
RSI should be below 50, indicating downward momentum.
Volatility should be rising, ensuring market momentum is strong.
Use ↘ Soft Peak signals for early entries before a full bearish confirmation.
2. Avoiding False Signals
Ignore signals when the market is ranging (low ATR).
Check RSI and ROC alignment to ensure trend confirmation.
Use additional confluences (e.g., price action, support/resistance levels, moving averages) for enhanced accuracy.
3. Trend Confirmation & Filtering
The stronger the trend, the higher the likelihood that Surge (🚀) and Power Peak (🔥) signals will continue in their direction.
Soft Surge (↗) and Soft Peak (↘) act as early warning signals before major breakouts occur.
What Makes This a Machine Learning-Inspired Moving Average?
While this indicator is not a direct implementation of machine learning (as Pine Script lacks AI/ML capabilities), it mimics machine learning principles by adapting dynamically to market conditions using the following techniques:
Adaptive Trend Selection:
It does not rely on fixed moving averages but instead adapts dynamically based on volatility expansion and momentum detection.
ATR-based filtering adjusts the indicator’s sensitivity to real-time conditions.
Multi-Factor Confirmation (Feature Engineering Equivalent in ML):
Combines ROC, RSI, and ATR in a structured way, similar to how ML models use multiple inputs to filter and classify data.
Implements conditional trend recognition, ensuring that only valid signals pass through the filter.
Noise Reduction with Data Smoothing:
The algorithm avoids false signals by incorporating trend intensity thresholds, much like how ML models remove outliers to refine predictions.
Adaptive filtering ensures that low-volatility environments do not produce misleading signals.
Why Use This Indicator?
✔ Reduces False Signals: Multi-factor validation ensures only high-confidence signals are triggered.
✔ Works in All Market Conditions: Volatility-adaptive nature allows the indicator to perform well in both trending and ranging markets.
✔ Great for Swing & Intraday Trading: It helps spot momentum shifts early and allows traders to catch major market moves before they fully develop.
✔ Visually Intuitive: Color-coded trends and clear signal markers make it easy to interpret.
Adaptive Kalman Trend Filter (Zeiierman)█ Overview
The Adaptive Kalman Trend Filter indicator is an advanced trend-following tool designed to help traders accurately identify market trends. Utilizing the Kalman Filter—a statistical algorithm rooted in control theory and signal processing—this indicator adapts to changing market conditions, smoothing price data to filter out noise. By focusing on state vector-based calculations, it dynamically adjusts trend and range measurements, making it an excellent tool for both trend-following and range-based trading strategies. The indicator's adaptive nature is enhanced by options for volatility adjustment and three unique Kalman filter models, each tailored for different market conditions.
█ How It Works
The Kalman Filter works by maintaining a model of the market state through matrices that represent state variables, error covariances, and measurement uncertainties. Here’s how each component plays a role in calculating the indicator’s trend:
⚪ State Vector (X): The state vector is a two-dimensional array where each element represents a market property. The first element is an estimate of the true price, while the second element represents the rate of change or trend in that price. This vector is updated iteratively with each new price, maintaining an ongoing estimate of both price and trend direction.
⚪ Covariance Matrix (P): The covariance matrix represents the uncertainty in the state vector’s estimates. It continuously adapts to changing conditions, representing how much error we expect in our trend and price estimates. Lower covariance values suggest higher confidence in the estimates, while higher values indicate less certainty, often due to market volatility.
⚪ Process Noise (Q): The process noise matrix (Q) is used to account for uncertainties in price movements that aren’t explained by historical trends. By allowing some degree of randomness, it enables the Kalman Filter to remain responsive to new data without overreacting to minor fluctuations. This noise is particularly useful in smoothing out price movements in highly volatile markets.
⚪ Measurement Noise (R): Measurement noise is an external input representing the reliability of each new price observation. In this indicator, it is represented by the setting Measurement Noise and determines how much weight is given to each new price point. Higher measurement noise makes the indicator less reactive to recent prices, smoothing the trend further.
⚪ Update Equations:
Prediction: The state vector and covariance matrix are first projected forward using a state transition matrix (F), which includes market estimates based on past data. This gives a “predicted” state before the next actual price is known.
Kalman Gain Calculation: The Kalman gain is calculated by comparing the predicted state with the actual price, balancing between the covariance matrix and measurement noise. This gain determines how much of the observed price should influence the state vector.
Correction: The observed price is then compared to the predicted price, and the state vector is updated using this Kalman gain. The updated covariance matrix reflects any adjustment in uncertainty based on the latest data.
█ Three Kalman Filter Models
Standard Model: Assumes that market fluctuations follow a linear progression without external adjustments. It is best suited for stable markets.
Volume Adjusted Model: Adjusts the filter sensitivity based on trading volume. High-volume periods result in stronger trends, making this model suitable for volume-driven assets.
Parkinson Adjusted Model: Uses the Parkinson estimator, accounting for volatility through high-low price ranges, making it effective in markets with high intraday fluctuations.
These models enable traders to choose a filter that aligns with current market conditions, enhancing trend accuracy and responsiveness.
█ Trend Strength
The Trend Strength provides a visual representation of the current trend's strength as a percentage based on oscillator calculations from the Kalman filter. This table divides trend strength into color-coded segments, helping traders quickly assess whether the market is strongly trending or nearing a reversal point. A high trend strength percentage indicates a robust trend, while a low percentage suggests weakening momentum or consolidation.
█ Trend Range
The Trend Range section evaluates the market's directional movement over a specified lookback period, highlighting areas where price oscillations indicate a trend. This calculation assesses how prices vary within the range, offering an indication of trend stability or the likelihood of reversals. By adjusting the trend range setting, traders can fine-tune the indicator’s sensitivity to longer or shorter trends.
█ Sigma Bands
The Sigma Bands in the indicator are based on statistical standard deviations (sigma levels), which act as dynamic support and resistance zones. These bands are calculated using the Kalman Filter's trend estimates and adjusted for volatility (if enabled). The bands expand and contract according to market volatility, providing a unique visualization of price boundaries. In high-volatility periods, the bands widen, offering better protection against false breakouts. During low volatility, the bands narrow, closely tracking price movements. Traders can use these sigma bands to spot potential entry and exit points, aiming for reversion trades or trend continuation setups.
Trend Based
Volatility Based
█ How to Use
Trend Following:
When the Kalman Filter is green, it signals a bullish trend, and when it’s red, it indicates a bearish trend. The Sigma Cloud provides additional insights into trend strength. In a strong bullish trend, the cloud remains below the Kalman Filter line, while in a strong bearish trend, the cloud stays above it. Expansion and contraction of the Sigma Cloud indicate market momentum changes. Rapid expansion suggests an impulsive move, which could either signal the continuation of the trend or be an early sign of a possible trend reversal.
Mean Reversion: Watch for prices touching the upper or lower sigma bands, which often act as dynamic support and resistance.
Volatility Breakouts: Enable volatility-adjusted sigma bands. During high volatility, watch for price movements that extend beyond the bands as potential breakout signals.
Trend Continuation: When the Kalman Filter line aligns with a high trend strength, it signals a continuation in that direction.
█ Settings
Measurement Noise: Adjusts how sensitive the indicator is to price changes. Higher values smooth out fluctuations but delay reaction, while lower values increase sensitivity to short-term changes.
Kalman Filter Model: Choose between the standard, volume-adjusted, and Parkinson-adjusted models based on market conditions.
Band Sigma: Sets the standard deviation used for calculating the sigma bands, directly affecting the width of the dynamic support and resistance.
Volatility Adjusted Bands: Enables bands to dynamically adapt to volatility, increasing their effectiveness in fluctuating markets.
Trend Strength: Defines the lookback period for trend strength calculation. Shorter periods result in more responsive trend strength readings, while longer periods smooth out the calculation.
Trend Range: Specifies the lookback period for the trend range, affecting the assessment of trend stability over time.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Volume Surge Momentum Detector [CHE]Volume Surge Momentum Detector – Discover explosive price movements fueled by sudden volume spikes.
Volume Surge Momentum Detector – Capture Key Inflection Points Using Volume Dynamics
Description:
This indicator helps traders identify highprobability entries by focusing on volume dynamics. Significant price movements often occur when interest in a stock rises, and this is reflected in volume spikes. The Volume Analysis Indicator is designed to detect key inflection points such as breakouts and capitulations by analyzing the relationship between volume and price. It enables traders to avoid false breakouts, identify trend exhaustion, and make informed trading decisions.
Key Features:
VolumeBased Inflection Points: The indicator tracks the volume levels to detect when there is significant interest in a stock. High volume signals increased market participation, often preceding large price moves.
Breakout Detection: It identifies breakouts by detecting price moves beyond a key level (the highest price over a certain period) along with a volume spike, indicating strong momentum.
Capitulation Detection: Capitulation is detected when a strong trend weakens and reverses with increased volume, signaling potential trend exhaustion.
Volume Thresholds: By using statistical measures, the indicator identifies unusually high or low volume based on the average volume and standard deviations, helping traders to spot major turning points in the market.
This tool simplifies volume bar analysis by automatically highlighting significant volume events, which often indicate large upcoming price movements.
Detailed Breakdown:
1. Volume as a Catalyst for Price Movements:
Volume is essential for price action. Without sufficient volume, price moves may not be sustained. This indicator highlights moments of increased market interest by tracking significant volume increases, helping traders stay ahead of major price movements.
2. Breakouts and Capitulation Detection:
Breakout: Detected when the volume exceeds an upper threshold (based on two standard deviations above the average volume) and the price breaks above the highest close of the previous period. These moments are marked with green labels on the chart.
Capitulation: Detected when volume increases significantly but the trend cannot sustain itself, and the price reverses below the lowest close of the previous period. These moments are marked with red labels on the chart, indicating potential trend exhaustion.
3. Sentiment and Market Dynamics:
Market sentiment can lead to price inflections when one side of the market becomes overbought or exhausted. Volume spikes in either direction provide clues as to whether a trend will continue or reverse. This indicator helps identify these critical points by monitoring volume patterns.
4. Visual Representation:
Green Bars: High volume indicating strong market interest or momentum.
Red Bars: Low volume, signaling potential lack of interest or exhaustion.
Gray Bars: Normal volume, helping to distinguish significant market events from regular activity.
Breakout and Capitulation Labels: Green labels for breakouts and red labels for capitulation points are shown directly on the chart for easy reference.
5. Alerts for Key Signals:
Breakout Alert: Notifies traders when a breakout occurs with strong volume, indicating a potential for significant price movement.
Capitulation Alert: Alerts traders when a capitulation occurs, suggesting a trend reversal.
High and Low Volume Alerts: Receive notifications when the volume exceeds the upper or lower thresholds, highlighting key moments of market interest or disinterest.
Why This Indicator Matters:
Traders often miss significant price moves or enter too late. This indicator helps traders by identifying highprobability entry points before the stock makes major moves. By focusing on volume spikes, the indicator provides insight into market sentiment and allows traders to act quickly.
How It Works:
1. Calculate Volume Significance: The indicator calculates the average volume over a userdefined period (`length`) and identifies significant deviations using standard deviations.
2. Mark Key Levels: Breakouts are detected when price moves above recent highs with significant volume, while capitulation is flagged when trends show exhaustion with a volume spike and price reversal.
3. Receive Alerts: Traders can set up alerts for key events like breakouts, capitulations, and significant volume changes to stay informed in realtime.
Perfect For:
Active traders looking to spot early market movements driven by volume changes.
Traders who want to avoid false breakouts by confirming price moves with volume spikes.
Swing traders identifying capitulation points to reduce exposure or enter positions on trend reversals.
How to Use:
Customize the "Average Period" to determine how many bars are used to calculate the average volume.
Adjust the "Multiplier for Standard Deviation" to finetune the sensitivity of high and low volume detection.
Enable alerts to receive realtime notifications for breakouts, capitulations, or volume spikes.
Conclusion:
Volume analysis is essential to understanding stock movements. This indicator simplifies the process of identifying breakouts and capitulation points by using volume dynamics. Whether you are a beginner looking for powerful tools or an experienced trader refining your strategy, this indicator offers valuable insights into market behavior driven by volume.
Additional Insights:
1. Statistical Significance: The use of standard deviations to identify high and low volume gives the indicator a statistical basis, helping to reduce noise and false signals.
2. Flexible Alerts: Traders can set up custom alerts based on their trading preferences, whether they focus on volume changes or price breakouts and reversals.
This detailed description now includes all the important aspects of the script without referencing any external sources, focusing solely on the functionality and trading strategy the script provides.
Best regards
Chervolino
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit
The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system.
This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit.
Swing failure patterns help traders identify potential entry points and rejection zones based on price swings.
Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics.
🔵 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔵 BASIC DEMONSTRATION OF ALL FEATURES
1. MARKET STRUCTURE
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions.
➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends.
➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure.
2. VOLUMETRIC ORDER BLOCKS
Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone.
Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout.
Here's a breakdown:
➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again.
➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again.
These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure.
➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure.
➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish.
Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers.
3. FAIR VALUE GAPS:
A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies.
FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals.
Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG.
4. SWING FAILURE PATTERN (SFP):
The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions.
SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction.
How it works:
Pattern Detection: The indicator scans for price movements that breach recent highs or lows.
Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP.
➤ SFP Display:
Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards.
Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards.
➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation:
For bullish SFPs, the deviation line appears above the current price.
For bearish SFPs, the deviation line appears below the current price.
These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum.
With Volume Threshold and Filtering of SFP traders can adjust their trading style:
Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity.
SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as:
5. LIQUIDITY CONCEPTS:
➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading.
EQL: A series of two or more swing lows that occur at approximately the same price level.
EQH: A series of two or more swing highs that occur at approximately the same price level.
EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades.
This multi-period feature allows traders to select less and more significant EQL and EQH:
➤ Liquidity wicks:
Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point:
➤ Buy and Sell side liquidity:
The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders.
The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed.
➤ Sweep Liquidation Zones:
Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities.
🔵 USAGE & EXAMPLES
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
MS + OBs
The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum.
The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market.
SFP + Bear OB
This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside.
Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern:
BUY – SELL sides + EQL
The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher.
The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout.
EQL + Bull ChoCh
This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals.
Liquidity grab + Bull ChoCh + FVGs
This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one.
As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher.
The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone.
In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy.
🔵 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick - avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal H&L: (short-mid-long term) display longer term
Liquidity Prints: Shows wicks of candles where liquidity was grabbed
Sweep Area: Identify Sweep Liquidation areas
By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
TrendScope:TrendScope Indicator Description with First-Time User Tutorial
---
Overview:
The TrendScope indicator is designed to give traders a comprehensive view of the market by combining multiple filter sets that analyze different aspects of price action. The filter sets allow you to switch between different views effortlessly and avoid indicator clutter. Whether you're scalping, swing trading, or identifying breakout opportunities, TrendScope helps you make informed decisions by assessing momentum, volatility, trade timing, and trend direction. It also includes a scalp setup you can use to execute trades and manage risk.
---
TrendScope Filter Sets with First-Time User Setup & Tutorial
---
Filter Set A: Short-Term Momentum
Goal:
This filter focuses on the immediate market sentiment without any additional indicators. It reveals where retail traders might enter the market, potentially highlighting areas where they could be stopped out. The goal is to identify these weak spots and anticipate likely price movements that could follow.
No Additional Indicators Required:
This filter set uses moving averages (SMA 20, SMA 50, SMA 100) to determine the short-term trend.
Tutorial:
- To Confirm an Uptrend: Ensure all moving averages are aligned in sequence: SMA 20 above SMA 50, and SMA 50 above SMA 100, all trending upwards.
Action: Consider going long using the scalper in Filter Set D.
- To Confirm a Downtrend: Ensure all moving averages are aligned in sequence: SMA 20 below SMA 50, and SMA 50 below SMA 100, all trending downwards.
Action: Consider going short using the scalper in Filter Set D.
- To Confirm Consolidation: If the moving averages are not aligned or are intertwined, the market is either about to or already trending sideways. The market is in a consolidation phase.
Action: Switch to Filter Set C for further analysis.
---
Filter Set B: Long-Term Momentum
Goal:
Similar to the short-term filter, but with a broader perspective. It helps in understanding the bigger picture, providing insights into longer-term trends and potential reversals for swing trade entries.
No Additional Indicators Required:
This filter set uses moving averages (SMA 20, SMA 100, SMA 200) to determine the long-term trend.
Tutorial:
- To Confirm an Uptrend: Ensure all moving averages are aligned in sequence: SMA 20 above SMA 100, and SMA 100 above SMA 200, all trending upwards.
Action: Consider going long using the scalper in Filter Set D.
- To Confirm a Downtrend: Ensure all moving averages are aligned in sequence: SMA 20 below SMA 100, and SMA 100 below SMA 200, all trending downwards.
Action: Consider going short using the scalper in Filter Set D.
- To Confirm Consolidation: If the moving averages are not aligned or are intertwined, the market is either about to or already trending sideways. The market is in a consolidation phase.
Action: Switch to Filter Set C for further analysis.
---
Filter Set C: Trading Range
This filter uses Bollinger Bands, Volume, and Volume-Weighted Relative Volume Profile (VRVP) to identify trading ranges and predict breakouts and trade timing. In short, when Bollinger Bands contract and volume is below average, the VRVP highlights low-volume areas that can serve as breakout targets, offering a timing edge.
Goal:
Anticipate breakouts in a sideways market.
Additional Indicators Required:
- VRVP: For visualizing volume at specific price levels.
- Volume Indicator: With a 100-period moving average for anticipating low market participation.
Tutorial:
1. Setup Screen: Zoom out to see the entire consolidation phase.
2. Identify Support & Resistance:
- Use VRVP to determine VAH (upper range) and VAL (lower range) support or resistance levels.
- Identify the POC (Point of Control) as the area with the highest support or resistance.
3. Wait for Setup:
- Wait for Bollinger Bands to contract and volume to dip below the average.
- Go short if the price is at VAH, go long if the price is at VAL.
4. Action: Switch to Filter Set D for precise entry, target, and risk management.
---
Filter Set D: Scalper
After determining the market condition using the previous filter sets, you can use this filter set to hunt for trades. Designed for use with Heikin Ashi candles, this filter allows you to enter when there’s high momentum and provides a trailing stop along the way.
Goal:
Execute trades in harmony with the established trend.
Setup Rules:
1. Condition 1: You know the current trend direction as per filter set guidance (A, B, & C), and the trend is up, and you are going long.
2. Condition 2: Wait for the price to close 3 consecutive flat-bottom Heikin Ashi candles above the 7 MA. Then Enter on the open of the fourth Candle.
3. Condition 3: The 3x candles have to be above the 7 MA (red line), and the 7 MA has to be above the 50 EMA (yellow line).
Trade Management:
Use the 50 EMA (Yellow Line) as a trailing stop and hold the position until a candle opens and closes below the 7 SMA (Red Line).
---
Additional Filter Sets
These filter sets are designed to accommodate various trading strategies, allowing for flexibility depending on the trader's approach.
---
Filter Set E: VWAP
When using the VWAP filter, load the On-Balance Volume (OBV) indicator to complement your analysis. This combination can help confirm volume trends and potential price movements.
Tips:
Look for instances where the VWAP aligns with OBV divergences to confirm or negate potential trade setups.
Tutorial:
- Complement with OBV: Look for volume confirmations.
- Usage: Switch the candles to a line chart. Wait for both the line to close above the VWAP and OBV above the Smoothing Line. Then, switch to Filter Set D and hunt for a long entry as per the strategy. Do the opposite for hunting short entries.
---
Filter Set F: Super Trend
This filter is most effective when paired with the Ichimoku Cloud (using custom settings) along with the MACD and ADX indicators.
Goal:
Gauge trend strength, momentum, and support and resistance levels.
Tutorial:
- Load Ichimoku, MACD, and ADX: To gauge trend strength and momentum.
- Usage Tips:
I use the cloud to look for long periods where the clouds print horizontal levels and use them for support and resistance levels. Alternatively, use the ADX. When the price breaks up through the super trend downtrend line and retraces back to the top of the Ichimoku cloud, switch to Filter Set D and hunt for a long scalp entry. For a short entry, wait for the price to break through the Up Trend Line and retrace back up to the cloud. Then, switch to Filter Set D and use the setup to hunt for a short.
---
Filter Set G: Keltner Channels
Combine this filter with Donchian Channels and the Average True Range (ATR) for enhanced volatility analysis. This filter set works similarly to Filter Set C.
Goal:
Measure volatility and predict breakouts.
Tutorial:
- Load Donchian Channels or ATR: To measure volatility and breakouts.
- Usage Tips:
Look for the price to fall through the Keltner lower line and the ATR making a higher low. Then, use the scalper for entries, with Donchian boundaries as take-profit estimates.
---
Filter Set H: Pivot Points
This filter works with the RSI to spot divergences that could signal a trend change or reversal.
Goal:
Identify divergences and trend reversals.
Tutorial:
- Load RSI: For identifying divergences.
- Usage Tips:
Use RSI in conjunction with pivot points to identify divergences. Then, switch to Filter Set D and use the scalper to hunt for swing entries in the divergence direction.
---
Filter Set I: Opening Range Breakout
This filter uses the Seasonality indicator to gauge investor sentiment and prediction sentiment.
Goal:
Assess market sentiment and predict breakout directions.
Tutorial:
- Load Seasonality Indicator: To assess market sentiment.
- Usage Tips:
Use seasonal trends to gauge potential breakout directions. Use on the daily timeframe only. Risk on investment zones are when the price is close to the ORB low level. Realize investment profit when the price is nearing the ORB high level, considering that there has to be divergence as determined using Filter Set H.
---
By following this structured approach, traders can learn to navigate different market conditions, using TrendScope to make informed decisions based on a comprehensive analysis of momentum, trend, and volatility. The goal is to go through all the filter sets and combine them with the scalp setup in Filter Set D, using the additional filters to adapt to various strategies and market conditions.
TradesAI - Elite (Premium)This is an all-inclusive, premium indicator that focuses mainly on price action analysis, a form of looking at raw price data and market structure to analyze and capture areas of interest where price could react.
This indicator is a perfect trading companion that saves you a lot of time in trading price action. Some of the popular methods that use price action analysis are "Smart Money Concepts (SMC)", "Inner Circle Trader (ICT)", and "Institutional Trading".
🔶 POWERFUL TOOLS
The indicator combines three main tools as a trading suite:
Trendlines
Market Structure Breakouts (MSB)
Order Blocks (OBs) and Reversal Order Blocks (ROBs)
These 3 main tools are interconnected together. Below we go over each, and then explain how and why they are brought in together. Please also note that the indicator's settings have tooltips next to most of them, with more detailed information.
🔶 TRENDLINES
This indicator automatically draws the most relevant Trendlines from pivot high/pivot low (based on the defined settings) as origins, while keeping track of candle closes across these Trendlines to adjust or invalidate accordingly.
The indicator will draw all possible Trendlines up to the maximum allowed by TradingView's PineScript. It uses a bullish pivot high candle to draw downtrends, and a bearish pivot low candle to draw uptrends. The algorithm will draw the most suitable active Trendlines from those origin points.
The indicator takes the origin point as the first point of the Trendline, then starts looking for the immediate next same-type candle (bullish to bullish or bearish to bearish), to draw the Trendline between the origin candle and this newer candle.
An uptrend is a ray connecting two bearish candles, as long as the second candle has a Low higher than the low of the origin (first) candle. A downtrend is a ray connecting two bullish candles, as long as the second candle has a high lower than the high of the origin (first) candle.
Upon drawing, the indicator then starts monitoring and adjusting this Trendline, by keeping the origin always the same but changing the second point. The goal is to keep reducing the slope of the Trendline till it is at 0 degrees (horizontal line). That then makes the Trendline "final". Note that you have the option to keep all Trendlines or just show the final, in the settings.
So, the algorithm has three states for the Trendlines:
Initial: not tested, meaning price hasn't yet broken through it and closed a candle beyond it, to cause a re-adjustment of this Trendline.
Broken: a candle hard closed (opened and closed) across it but still, the direction of the trend is maintained with a new Trendline from the same origin – could be replaced (or kept on the chart as a "backside", which is what we call a broken Trendline to be tested from the opposite side) with a new Trendline from the same origin, to the newest candle that caused the break to happen, as then it becomes the new second point of that Trendline.
Final: a candle hard closed (opened and closed) across it and can't draw a new Trendline from the same origin maintaining the direction of the trend (so an uptrend becomes a downtrend or a downtrend becomes an uptrend at this point, which is not allowed). This marks the end of the Trendline adjustment for that origin.
To summarize the Trendlines algorithm, imagine starting from a candle and drawing the Trendline, then keep re-adjusting it to make its slope less and less, till it becomes a horizontal line. That's the final state.
Here is a step-by-step scenario to demonstrate the algorithm:
Notice how first an Uptrend (green ray) is drawn between point A origin pivot (picked by our smart algorithm) and point B, both marked by green arrows:
Uptrend then turned into backside (where it flips from diagonal support to resistance where liquidity potentially resides):
Then a new uptrend is drawn from the same point A origin pivot to a new point B matching the filters in settings.
Finally, it turns also into a backside and is considered final because no more uptrends could be drawn from the same point A origin point.
Unlike traditional Trendline tools, this indicator takes into account numerous rules for each candlestick to determine valid support and resistance levels, which act as liquidity zones.
Unlike conventional Trendline tools, this indicator allows the user to define the pivot point left and right length to capture the proper ones as origins, then automatically recognizes and extends lines from them as liquidity zones where a reaction is expected. Moreover, the indicator monitors those Trendlines in real-time to switch them from buying to selling zones, and vice-versa, as the price structure changes.
Features
Log vs. Linear scale switch to show different Trendlines accordingly. When updating the Trendlines, or deciding whether Touches/Hard Closes are met, it makes a difference.
Ability to show all forms of Trendlines, final Trendlines or just backside Trendlines.
Why is it used?
For experienced traders, it offers the advantage of time efficiency, while new traders can bypass the steep learning curve of drawing Trendlines manually, which could practically be drawn between any two candlesticks on the chart (many variations).
🔶 MARKET STRUCTURE BREAKOUT (MSB)
The Market Structure Breakouts (MSB) tool is a trading tool that detects specific patterns on trading charts and provides ‘take profit’ regions based on the extended direction of the identified pattern. A breakout is a potential trading opportunity that presents itself when an asset's price moves away from a zone of accumulation (i.e. above a resistance level or below a support level) on increasing volume. The most famous form of market structure breakout is double/triple tops/bottoms, or what is referred to as W or M breakouts.
See this example below of how our MSB smart algorithm picked the local bottom of INDEX:BTCUSD
Here is a step-by-step scenario to demonstrate the algorithm:
First, the algorithm picks the pivot points according to our Machine Learning (ML) model, which uses Average True Range (ATR) and Moving Averages of various types to decide. It will then signal a Market Structure Breakout (MSB):
You may either short (sell) this MSB towards the targets (dotted green lines) and/or buy (long) at the targets (dotted green lines). Usually, these targets provide scalp moves, according to our model, but they may also act as strong reversal points on the chart.
Unlike standard indicators, the MSB tool identifies patterns that may not appear in every time frame due to specific conditions that need to be met, including Average True Range (ATR) and Moving Averages at the time of creation. Once these patterns are identified, the tool gives ‘take profit’ regions in the direction of the trading pattern and even allows for trading in the opposite direction (contrarian/counter-trend scalps) once those regions are reached. A confirmed breakout has the potential to drive the price to these specific targets, calculated based on our Machine Learning (ML) model. The Targets are the measured moves placed from the breakout point.
Features
Log vs. Linear scale switch to show different MSBs accordingly based on the ratios.
Detects trading patterns with specific conditions.
Ability to specify how sensitive the pivot points are for capturing market structure breakouts.
Provides take profit regions in the extended direction of the pattern.
Allows for versatile trading styles by permitting trades in the opposite direction (contrarian or counter-trend) once the take profit region is reached.
Highlights 2 levels of interest for potential trade initiation (or as targets of the MSB move).
🔶 ORDER BLOCK (OB) and REVERSAL ORDER BLOCK (ROB)
Before diving deeper into OBs and ROBs, you may consider the following chart for a general understanding of price ladders, and how they break. This is a bearish price ladder leaving Lower Lows and Lower Highs after an initial Low and High (L->H->LL->LH). Bullish ladders are the opposite (H->L->HH->HL).
In this bearish ladder case, notice the numbers representing the highs made (being lower). While this is a clean structure, markets don't always create such clean ladders, but you may switch to a higher timeframe to see it in a clearer form (usually, you will be able to spot it there).
In SMC or ICT concepts, the "Break Of Structure (BOS)" is pretty much creating a new lower low (LL) for the bearish ladder (and the creation of a higher high (HH) for the bullish ladder). By doing so, markets are grabbing liquidity below these levels and could either continue the ladder or stop/flip it. This gives you the context of how the ladder prints.
Price usually ends the ladder with a "Change of Character (CHoCH)", which represents a BOS (to grab liquidity) followed by an aggressive move in the opposite direction, which could lead the market to close the gaps and balance out. It is considered a good practice to then target liquidity in the opposite direction when a CHoCH happens, meaning for a bearish ladder you may target the pivots marked by 3, 2 and 1 at the top (start of the ladder).
Now we move to Order Blocks (OBs) and Reversal Order Blocks (ROBs). Think of them as sniper zones or micro ladders inside the bigger ladder/structure.
Order Blocks are usually used as zones of support and resistance on a trading chart where liquidity is present, or what some traders call "potential institutional interest zones". Order Blocks can be observed at the beginning of these strong moves of BOS or the CHoCH, leaving behind a zone (one or more candles) to be revisited later to balance the market. Therefore, these are interesting levels to place Limit/Market orders (sell the peaks or buy the valleys) instead of doing so at the swing highs or swing lows of the ladder (where BOS or CHoCH happened). The idea here is that the price could go deep into the ladder's step (peak or valley), and by doing so, it usually goes to these zones.
A bullish Order Block (Valley-OB) is the last bearish candle of a downtrend before a sequence of bullish candles (thus forming a "Valley"). A bearish Order Block (Peak-OB) is the last bullish candle of an uptrend before a sequence of bearish candles (thus forming a "Peak"). Our indicator captures the full range zones of the OB meaning not only the last candle but the sequence of same-type candles immediately next to it, which creates a zone, thus the name "OB/ROB Zone". Not only does the tool mark those levels on the chart, but it also has a smart tracking algorithm to remove the appropriate levels dynamically. It will monitor, candle by candle, what is happening to all the OBs/ROBs, and update them according to how they are being tested/visited (eg. weak testing being a touch, and strong testing being a touch of the same colour candle).
Bullish Valley-OB:
Bearish Peak-OB:
The indicator follows our concept of "Zone Activation" to determine whether to mark zones with dashed or solid lines.
If we take a bearish Peak-OB as an example, notice how it first gets drawn with a dashed red line (as the algorithm monitors how far the price moved away from the zone):
As price moves away (distance based on our Machin Learning (ML) model), it turns into solid lines:
Some people prefer to enter market orders or limit (pending) orders close to the zone, while others wait for it to hit. You may wait for these zones to turn into solid lines (meaning that the price made a decent move away from it before revisiting it). It depends on your trading strategy.
When Order Block (OB) zones break instead of holding the ladder, they turn into what we call Reversal Order Blocks (ROB); our algorithm of flipping these zones where price could react from the other side of the OB. Our algorithm monitor and highlight the most suitable ones to trade, based on +30 conditions and variables by our Machine Learning (ML) models. Examples of ROBs in the SMC or ICT trading community are a "Breaker Block", a "Mitigation Block" or a "Unicorn Setup". However, our algorithm filters the zones based on many factors such as ratios of price movement before, inside and after these zones, along with many other factors.
The algorithm monitors the ratios of how price moved into and away from the OB/ROB, as well as the type of move happening, to then filter the ones that are considered of high probability to break/not do a reaction.
A bullish Valley-OB (green) turns into a bearish Valley-ROB (neon red) where you may short (sell), while a bearish Peak-OB (red) turns into a bullish Peak-ROB (neon green) where you may long (buy).
Example of a bullish Valley-OB that turned into a bearish Valley-ROB:
Features
Log vs. Linear scale switch to show OBs/ROBs accordingly based on the ratios and the price action around these zones (before and after creation).
Uses our Machine Learning (ML) model to determine relevant Order Blocks (OBs) to show or hide based on price action.
Considers distribution and accumulation candles to find relevant Order Blocks.
Various types of triggers to mark those Order Blocks and their zones: breakout, close, hard close (open and close) or full close (low, high, open and close).
Monitors the 1:1 expansion of price from key areas of interest, which would change the importance of the zones through our concept of “Zone Activation”.
Allows for customization in the settings to display different types of Order Blocks (e.g., tested or untested).
Marking and invalidating levels based on many variables, including single or multiple candle zones, touching/closing beyond specific levels, weak/strong testing criteria, price tolerance % (near a level), and many more.
Provides color-coded visual representation for easier interpretation.
Why is it used?
Order Blocks (OB) and Reversal Order Blocks (ROB) represent the building blocks of price ladders, in conjunction with Swing Highs and Swing Lows. By identifying where liquidity is potentially present, they become common targets for big market players. Additionally, they provide clear invalidation points based on various types of candle closes, such as hard closes or simply a candle close.
One strategy that could be used is to open positions at these OB or ROB Levels as long as the chart maintains the trend (ladder), for a potentially higher win rate (or against it for a quick scalp). Be mindful of the breaking of a ladder or the building of a new one. A ladder breaks with a hard close (open and close) of a candle across the closest two levels; a ladder builds by not breaking back down across the levels it has tested. By definition, strong ladders will have a few untested levels and come back to wick them but still retain the structure of the laddering direction (trending with Lower Lows + Lower Highs or Higher Lows + Higher Highs).
🔶 COMBINING ALL TOOLS
In summary, Trendlines could be great tools to give you a general context of whether the price is laddering up or down. Once you spot the ladder, your goal is to either trade in its direction (not to go against the trend) or to counter-trend trade (contrarian). To do so, you could use the MSB tool to spot these BOS/CHoCH. And to give you more precise entries, you may rely on the OB/ROB zones which usually mesh over the ladder, to provide a sniper entry!
🔶 RISK DISCLAIMER
Trading is risky, and most day traders lose money. The risk of loss in trading can be substantial. Decisions to buy, sell, hold or trade in securities, commodities and other investments involve risk and are best made based on the advice of qualified financial professionals. Past performance does not guarantee future results. All content is to be considered hypothetical, selected after the fact, in order to demonstrate our product and should not be construed as financial advice. You should therefore carefully consider whether such trading is suitable for you in light of your financial condition.
TMA Bands with Break Arrow @ClearTradingMind
The "TMA Bands with Break Arrow" indicator, developed by ClearTradingMind, is designed to provide traders with insights into potential trend reversals based on the movement of price within a channel defined by the Triangular Moving Average (TMA) and its bands. The TMA is a smoothed moving average, and this indicator adds upper and lower bands to visualize potential breakouts.
Key Components:
1. TMA Bands: The indicator plots the upper and lower bands of the TMA channel. These bands represent potential overbought (upper band) and oversold (lower band) conditions.
2. Break Arrows: The indicator generates buy (green triangle up) and sell (red triangle down) arrows when the closing price breaks above the upper band or below the lower band, indicating a potential trend reversal.
3. Background Color: The background color dynamically changes based on the last generated signal. A blue background suggests a recent buy signal, while a red background indicates a recent sell signal. This provides a quick visual reference for the prevailing market sentiment.
Usage:
1. Trend Reversals: Traders can use the buy and sell arrows as signals for potential trend reversals. A buy signal suggests a possible upward trend, while a sell signal suggests a potential downward trend.
2. Channel Breakouts: Watch for price breaking above the upper band (buy signal) or below the lower band (sell signal). These breakouts may indicate the start of a new trend.
3. Volatility Analysis: The width of the TMA channel represents volatility. A widening channel suggests increased volatility, while a narrowing channel suggests decreasing volatility.
4. Background Color: The background color provides additional context. A blue background indicates recent bullish sentiment, while a red background suggests recent bearish sentiment.
Parameters:
- TMA Period: The number of bars used to calculate the Triangular Moving Average.
- ATR Period: The number of bars used to calculate the Average True Range (ATR) for determining the width of the TMA channel.
- ATR Multiplier: A multiplier applied to the ATR to determine the width of the TMA channel.
Note: This indicator is a tool to assist traders in their analysis, and it is recommended to use it in conjunction with other technical and fundamental analysis methods for more comprehensive decision-making.
Disclaimer: Trading involves risk, and this indicator does not guarantee profit. Users should conduct thorough analysis and risk management before making trading decisions.