Mohit Bollinger BandsBest Indicator For volatilty and newer miss top and bottom best uses in daily timeframe
อินดิเคเตอร์และกลยุทธ์
Porcentaje x VELA NACHOMIXCRYPTOThis TradingView indicator, called "Percentage x VELA NACHOMIXCRYPTO," calculates and displays the percentage increase and decrease of a candle compared to another selected reference candle. It also allows for customizing the appearance of lines and labels and provides a summary of the percentages in a table.
Key Features
Percentage Calculation:
It calculates the percentage increase by measuring the difference between the current closing price and the low price of a selected previous candle.
The percentage decrease is determined using the difference between the high price of a selected previous candle and the current closing price.
An additional value displays the average of both percentages.
Custom Reference Candle Selection:
The indicator allows you to manually select the candle from which you want to measure the percentage increase or decrease.
For example, if you are on a 1-hour chart and want to measure the change from a specific candle 3 hours ago, you can select that candle as your reference.
This feature is independent for increases and decreases, meaning you can measure the rise from one candle and the drop from another.
Customizable Visualization:
You can customize the color and thickness of the increase and decrease lines.
Percentage labels are also configurable, allowing you to adjust their color, size, position, and style.
Summary Table:
The indicator displays a table in the bottom right corner of the chart with the following data:
Percentage Increase
Percentage Decrease
Average of the Percentages
Total Sum of the Increase and Decrease
Conclusion
This indicator is useful for quickly identifying and visualizing the magnitude of market movements across different timeframes, especially for traders looking to assess increases and decreases relative to key candles. With the ability to manually select reference candles, it offers additional flexibility for more precise technical analysis.
Porcentaje de Subida y Bajada del Precio NACHOMIXCRYPTOThis Pine Script indicator, titled "Porcentaje de Subida y Bajada del Precio NACHOMIXCRYPTO", is designed to calculate and display the percentage increase and decrease of the price for a given day. Here’s how it works:
1. Indicator Purpose
The indicator tracks the highest and lowest price points of the day.
It calculates the percentage price increase from the lowest price to the current closing price.
It also calculates the percentage price decrease from the highest price to the current closing price.
Additionally, it shows the average change and the combined percentage of both movements.
2. Key Features
Customizable Visuals:
You can adjust the line colors, widths, label colors, and text alignment.
Labels for percentage changes are displayed near the current price.
Daily Highs and Lows:
The indicator resets the lowest and highest price at the start of a new day.
Percentage Calculations:
PriceRise: The percentage change from the day’s lowest price to the current close.
PriceDrop: The percentage change from the day’s highest price to the current close.
AvgChange: The average of the rise and drop percentages.
Total+-: The sum of the price rise and drop, providing a combined market movement view.
3. Visual Representation
Lines:
A green line represents the upward movement (from the lowest price to the current price).
A red line represents the downward movement (from the highest price to the current price).
Labels:
The percentage increase is labeled in green, and the percentage decrease is labeled in red.
The labels are positioned with an adjustable offset for clarity.
Table Display:
A table in the bottom-right corner displays all the calculated values for quick reference.
4. Practical Use
Trend Analysis: Helps identify if the market has shown significant upward or downward movement during the day.
Volatility Assessment: Traders can evaluate the volatility based on the total percentage movement.
Decision Support: Provides a clear indication of how much the price has moved relative to its daily high and low.
Overall, this indicator is useful for intraday traders to monitor price movements and make informed trading decisions.
DMI + ADX + Key Level NACHOMIXCRYPTOThe DMI + ADX + Key Level NACHOMIXCRYPTO indicator is a technical analysis tool that combines the Directional Movement Index (DMI) and the Average Directional Index (ADX) to assess trend strength and direction. It also includes customizable key levels for better visualization.
Components:
ADX (Average Directional Index):
Measures the strength of a trend, regardless of its direction.
Values below 25 indicate a weak trend or range-bound market.
Values between 25-50 suggest a strong trend.
Values between 50-75 indicate a very strong trend.
Values above 75 represent an extremely strong trend.
+DI (Positive Directional Indicator) and -DI (Negative Directional Indicator):
+DI indicates bullish strength, shown in green.
-DI indicates bearish strength, shown in red.
The comparison between these two lines helps determine the market direction.
Features:
Trend Detection:
When +DI is above -DI and ADX is above the key level, it signals a bullish trend.
When -DI is above +DI and ADX is above the key level, it signals a bearish trend.
Key Level Line:
A customizable horizontal line that marks the threshold for trend strength.
Trend Background Color:
Green for strong uptrends and red for strong downtrends.
Signal Arrows:
A green upward triangle is plotted when a new bullish trend starts.
A red downward triangle is plotted when a new bearish trend starts.
Trend Strength Labels:
The indicator displays the current market strength classification and whether the trend is bullish, bearish, or neutral.
Strength Analysis Table:
Provides insights on whether the market has bullish, bearish, mixed strength, or no strength at all.
This indicator is particularly useful for traders looking to identify strong trends and catch early trend reversals.
Volume Profile [ActiveQuants]The Volume Profile indicator visualizes the distribution of trading volume across price levels over a user-defined historical period. It identifies key liquidity zones, including the Point of Control (POC) (price level with the highest volume) and the Value Area (price range containing a specified percentage of total volume). This tool is ideal for traders analyzing support/resistance levels, market sentiment , and potential price reversals .
█ CORE METHODOLOGY
Vertical Price Rows: Divides the price range of the selected lookback period into equal-height rows.
Volume Aggregation: Accumulates bullish/bearish or total volume within each price row.
POC: The row with the highest total volume.
Value Area: Expands from the POC until cumulative volume meets the user-defined threshold (e.g., 70%).
Dynamic Visualization: Rows are plotted as horizontal boxes with widths proportional to their volume.
█ KEY FEATURES
- Customizable Lookback & Resolution
Adjust the historical period ( Lookback ) and granularity ( Number of Rows ) for precise analysis.
- Configurable Profile Width & Horizontal Offset
Control the relative horizontal length of the profile rows, and set the distance from the current bar to the POC row’s anchor.
Important: Do not set the horizontal offset too high. Indicators cannot be plotted more than 500 bars into the future.
- Value Area & POC Highlighting
Set the percentage of total volume required to form the Value Area , ensuring that key volume levels are clearly identified.
Value Area rows are colored distinctly, while the POC is marked with a bold line.
- Flexible Display Options
Show bullish/bearish volume splits or total volume.
Place the profile on the right or left of the chart.
- Gradient Coloring
Rows fade in color intensity based on their relative volume strength .
- Real-Time Adjustments
Modify horizontal offset, profile width, and appearance without reloading.
█ USAGE EXAMPLES
Example 1: Basic Volume Profile with Value Area
Settings:
Lookback: 500 bars
Number of Rows: 100
Value Area: 70%
Display Type: Up/Down
Placement: Right
Image Context:
The profile appears on the right side of the chart. The POC (orange line) marks the highest volume row. Value Area rows (green/red) extend above/below the POC, containing 70% of total volume.
Example 2: Total Volume with Gradient Colors
Settings:
Lookback: 800 bars
Number of Rows: 100
Profile Width: 60
Horizontal Offset: 20
Display Type: Total
Gradient Colors: Enabled
Image Context:
Rows display total volume in a single color with gradient transparency. Darker rows indicate higher volume concentration.
Example 3: Left-Aligned Profile with Narrow Value Area
Settings:
Lookback: 600 bars
Number of Rows: 100
Profile Width: 45
Horizontal Offset: 500
Value Area: 50%
Profile Placement: Left
Image Context:
The profile shifts to the left, with a tighter Value Area (50%).
█ USER INPUTS
Calculation Settings
Lookback: Historical bars analyzed (default: 500).
Number of Rows: Vertical resolution of the profile (default: 100).
Profile Width: Horizontal length of rows (default: 50).
Horizontal Offset: Distance from the current bar to the POC (default: 50).
Value Area (%): Cumulative volume threshold for the Value Area (default: 70%).
Volume Display: Toggle between Up/Down (bullish/bearish) or Total volume.
Profile Placement: Align profile to the Right or Left of the chart.
Appearance
Rows Border: Customize border width/color.
Gradient Colors: Enable fading color effects.
Value Area Colors: Set distinct colors for bullish and bearish Value Area rows.
POC Line: Adjust color, width, and visibility.
█ CONCLUSION
The Volume Profile indicator provides a dynamic, customizable view of market liquidity. By highlighting the POC and Value Area, traders can identify high-probability reversal zones, gauge market sentiment, and align entries/exits with key volume levels.
█ IMPORTANT NOTES
⚠ Lookback Period: Shorter lookbacks prioritize recent activity but may omit critical levels.
⚠ Horizontal Offset Limitation: Avoid excessively high offsets (e.g., close to ±300). TradingView restricts plotting indicators more than 500 bars into the future, which may truncate or hide the profile.
⚠ Risk Management: While the indicator highlights areas of concentrated volume, always use it in combination with other technical analysis tools and proper risk management techniques.
█ RISK DISCLAIMER
Trading involves substantial risk. The Volume Profile highlights historical liquidity but does not predict future price movements. Always use stop-loss orders and confirm signals with additional analysis. Past performance is not indicative of future results.
📊 Happy trading! 🚀
CHG FROM OPEN %As an intraday trader, I'm more interested in seeing the CHG FROM OPEN % than the CHG % measured from yesterday's close. I overlay this script on a separate Volume pane so it doesn't hide my price chart, and I hide the line since the line isn't particularly useful to me.
This script shows the current real-time CHG FROM OPEN % when you hover outside of the chart during regular trading hours (all times NYC/EST). Hovering over the chart will show you the historical CHG FROM OPEN % and, if extended hours, the CHG FROM OPEN % at the previous close.
You can also find CHG FROM OPEN % in the stock screener, but having it in the chart is more convenient for me.
Volume Aggregated Spot & FuturesAggregated volume for cryptos using spot and perpetual contracts but only those that are based on normal volume and not on tick volume.
Provides more reliable volume than volume from one provider.
Thanks to HALDRO because it's his code and I simplified it to create this version.
Trend Highlight with MARed bars when price is below the 5-day MA and making lower lows
Green bars when price is above the 5-day MA and making higher highs
Shaded trend areas (red for bearish, green for bullish)
Two Moving Averages (5-day in orange, 20-day in red for trend confirmation)
OFFICIALPROPTRADERS FRACTALS WITH SESSIONS AND EMAs🚨 OFFICIAL ENTRY INDICATOR FOR THE OPT STRATEGY! 🚨
✅ Get real-time, precision EMA signals to identify market bias & trend direction.
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Bollinger Bands Fill Prothis improved bollinger band indicator will give fine tuning of bullish and bearish trend with color fills which changes according to trends. this is user friendly with simple and powerful indication.
PVSRA with alerts by YogamarcThis version of pvsra has background shading as the alert (for abnormal volume spikes) as an option
WAVYORBFIB strathis strategy combines the power of the Opening Range Breakout with the precision of Fibonacci Retracement levels, creating a dynamic approach to market entry and exit points. It focuses on identifying key breakout zones early in the trading session, while leveraging Fibonacci levels to fine-tune potential support, resistance, and profit-taking targets.
How It Works:
Opening Range Breakout (ORB):
The strategy first identifies the Opening Range, which is typically defined by the high and low of the first 30 minutes or 1 hour of the trading session. This period serves as a crucial time frame, setting the initial market sentiment.
A breakout occurs when the price moves beyond the opening range (above the high or below the low). This breakout signals the potential for a strong move in the direction of the breakout.
Fibonacci Levels:
Once the breakout is identified, Fibonacci retracement levels (38.2%, 50%, 61.8%) are applied to the price movement from the opening range.
These levels act as potential support and resistance zones, providing possible entry points for trades as the market retraces and tests these levels.
The 61.8% level is particularly crucial, often seen as a powerful zone for reversal or continuation of the trend.
Key Entry Signals:
Long Entry: If the price breaks above the opening range and retraces to a key Fibonacci level (e.g., 38.2% or 50% level), a long position can be entered as the price bounces off the Fibonacci support.
Short Entry: If the price breaks below the opening range and retraces to a key Fibonacci level, a short position is considered as the price faces resistance at the Fibonacci retracement.
Exiting the Trade:
Target 1: Use Fibonacci extensions (like the 161.8% or 200% levels) as profit-taking targets for the trend continuation.
Target 2: If the price hits a Fibonacci level (e.g., 38.2% retracement) and begins to reverse, close out a portion of the position for profits, or tighten stops for a safer exit.
Stop Loss Strategy:
Place a stop loss just outside the opening range or below/above the nearest Fibonacci level (depending on the trade direction). This ensures minimal risk while the market tests these critical levels.
Why It Works:
This strategy leverages two well-tested concepts in technical analysis:
The Opening Range Breakout, which identifies the early momentum in the market,
And the Fibonacci retracement levels, which give traders key levels of support and resistance, helping to identify high-probability entry and exit points.
Ideal Markets:
This strategy works best in volatile markets and during periods of significant market movement, especially after major economic news or events.
Volume Predictor [PhenLabs]📊 Volume Predictor
Version: PineScript™ v6
📌 Description
The Volume Predictor is an advanced technical indicator that leverages machine learning and statistical modeling techniques to forecast future trading volume. This innovative tool analyzes historical volume patterns to predict volume levels for upcoming bars, providing traders with valuable insights into potential market activity. By combining multiple prediction algorithms with pattern recognition techniques, the indicator delivers forward-looking volume projections that can enhance trading strategies and market analysis.
🚀 Points of Innovation:
Machine learning pattern recognition using Lorentzian distance metrics
Multi-algorithm prediction framework with algorithm selection
Ensemble learning approach combining multiple prediction methods
Real-time accuracy metrics with visual performance dashboard
Dynamic volume normalization for consistent scale representation
Forward-looking visualization with configurable prediction horizon
🔧 Core Components
Pattern Recognition Engine : Identifies similar historical volume patterns using Lorentzian distance metrics
Multi-Algorithm Framework : Offers five distinct prediction methods with configurable parameters
Volume Normalization : Converts raw volume to percentage scale for consistent analysis
Accuracy Tracking : Continuously evaluates prediction performance against actual outcomes
Advanced Visualization : Displays actual vs. predicted volume with configurable future bar projections
Interactive Dashboard : Shows real-time performance metrics and prediction accuracy
🔥 Key Features
The indicator provides comprehensive volume analysis through:
Multiple Prediction Methods : Choose from Lorentzian, KNN Pattern, Ensemble, EMA, or Linear Regression algorithms
Pattern Matching : Identifies similar historical volume patterns to project future volume
Adaptive Predictions : Generates volume forecasts for multiple bars into the future
Performance Tracking : Calculates and displays real-time prediction accuracy metrics
Normalized Scale : Presents volume as a percentage of historical maximums for consistent analysis
Customizable Visualization : Configure how predictions and actual volumes are displayed
Interactive Dashboard : View algorithm performance metrics in a customizable information panel
🎨 Visualization
Actual Volume Columns : Color-coded green/red bars showing current normalized volume
Prediction Columns : Semi-transparent blue columns representing predicted volume levels
Future Bar Projections : Forward-looking volume predictions with configurable transparency
Prediction Dots : Optional white dots highlighting future prediction points
Reference Lines : Visual guides showing the normalized volume scale
Performance Dashboard : Customizable panel displaying prediction method and accuracy metrics
📖 Usage Guidelines
History Lookback Period
Default: 20
Range: 5-100
This setting determines how many historical bars are analyzed for pattern matching. A longer period provides more historical data for pattern recognition but may reduce responsiveness to recent changes. A shorter period emphasizes recent market behavior but might miss longer-term patterns.
🧠 Prediction Method
Algorithm
Default: Lorentzian
Options: Lorentzian, KNN Pattern, Ensemble, EMA, Linear Regression
Selects the algorithm used for volume prediction:
Lorentzian: Uses Lorentzian distance metrics for pattern recognition, offering excellent noise resistance
KNN Pattern: Traditional K-Nearest Neighbors approach for historical pattern matching
Ensemble: Combines multiple methods with weighted averaging for robust predictions
EMA: Simple exponential moving average projection for trend-following predictions
Linear Regression: Projects future values based on linear trend analysis
Pattern Length
Default: 5
Range: 3-10
Defines the number of bars in each pattern for machine learning methods. Shorter patterns increase sensitivity to recent changes, while longer patterns may identify more complex structures but require more historical data.
Neighbors Count
Default: 3
Range: 1-5
Sets the K value (number of nearest neighbors) used in KNN and Lorentzian methods. Higher values produce smoother predictions by averaging more historical patterns, while lower values may capture more specific patterns but could be more susceptible to noise.
Prediction Horizon
Default: 5
Range: 1-10
Determines how many future bars to predict. Longer horizons provide more forward-looking information but typically decrease accuracy as the prediction window extends.
📊 Display Settings
Display Mode
Default: Overlay
Options: Overlay, Prediction Only
Controls how volume information is displayed:
Overlay: Shows both actual volume and predictions on the same chart
Prediction Only: Displays only the predictions without actual volume
Show Prediction Dots
Default: false
When enabled, adds white dots to future predictions for improved visibility and clarity.
Future Bar Transparency (%)
Default: 70
Range: 0-90
Controls the transparency of future prediction bars. Higher values make future bars more transparent, while lower values make them more visible.
📱 Dashboard Settings
Show Dashboard
Default: true
Toggles display of the prediction accuracy dashboard. When enabled, shows real-time accuracy metrics.
Dashboard Location
Default: Bottom Right
Options: Top Left, Top Right, Bottom Left, Bottom Right
Determines where the dashboard appears on the chart.
Dashboard Text Size
Default: Normal
Options: Small, Normal, Large
Controls the size of text in the dashboard for various display sizes.
Dashboard Style
Default: Solid
Options: Solid, Transparent
Sets the visual style of the dashboard background.
Understanding Accuracy Metrics
The dashboard provides key performance metrics to evaluate prediction quality:
Average Error
Shows the average difference between predicted and actual values
Positive values indicate the prediction tends to be higher than actual volume
Negative values indicate the prediction tends to be lower than actual volume
Values closer to zero indicate better prediction accuracy
Accuracy Percentage
A measure of how close predictions are to actual outcomes
Higher percentages (>70%) indicate excellent prediction quality
Moderate percentages (50-70%) indicate acceptable predictions
Lower percentages (<50%) suggest weaker prediction reliability
The accuracy metrics are color-coded for quick assessment:
Green: Strong prediction performance
Orange: Moderate prediction performance
Red: Weaker prediction performance
✅ Best Use Cases
Anticipate upcoming volume spikes or drops
Identify potential volume divergences from price action
Plan entries and exits around expected volume changes
Filter trading signals based on predicted volume support
Optimize position sizing by forecasting market participation
Prepare for potential volatility changes signaled by volume predictions
Enhance technical pattern analysis with volume projection context
⚠️ Limitations
Volume predictions become less accurate over longer time horizons
Performance varies based on market conditions and asset characteristics
Works best on liquid assets with consistent volume patterns
Requires sufficient historical data for pattern recognition
Sudden market events can disrupt prediction accuracy
Volume spikes may be muted in predictions due to normalization
💡 What Makes This Unique
Machine Learning Approach : Applies Lorentzian distance metrics for robust pattern matching
Algorithm Selection : Offers multiple prediction methods to suit different market conditions
Real-time Accuracy Tracking : Provides continuous feedback on prediction performance
Forward Projection : Visualizes multiple future bars with configurable display options
Normalized Scale : Presents volume as a percentage of maximum volume for consistent analysis
Interactive Dashboard : Displays key metrics with customizable appearance and placement
🔬 How It Works
The Volume Predictor processes market data through five main steps:
1. Volume Normalization:
Converts raw volume to percentage of maximum volume in lookback period
Creates consistent scale representation across different timeframes and assets
Stores historical normalized volumes for pattern analysis
2. Pattern Detection:
Identifies similar volume patterns in historical data
Uses Lorentzian distance metrics for robust similarity measurement
Determines strength of pattern match for prediction weighting
3. Algorithm Processing:
Applies selected prediction algorithm to historical patterns
For KNN/Lorentzian: Finds K nearest neighbors and calculates weighted prediction
For Ensemble: Combines multiple methods with optimized weighting
For EMA/Linear Regression: Projects trends based on statistical models
4. Accuracy Calculation:
Compares previous predictions to actual outcomes
Calculates average error and prediction accuracy
Updates performance metrics in real-time
5. Visualization:
Displays normalized actual volume with color-coding
Shows current and future volume predictions
Presents performance metrics through interactive dashboard
💡 Note:
The Volume Predictor performs optimally on liquid assets with established volume patterns. It’s most effective when used in conjunction with price action analysis and other technical indicators. The multi-algorithm approach allows adaptation to different market conditions by switching prediction methods. Pay special attention to the accuracy metrics when evaluating prediction reliability, as sudden market changes can temporarily reduce prediction quality. The normalized percentage scale makes the indicator consistent across different assets and timeframes, providing a standardized approach to volume analysis.
Trendlines with Breaks [Sambarek]The trendlines with breaks indicator return pivot point based trendlines with highlighted breakouts. Users can control the steepness of the trendlines as well as their slope calculation method.
Trendline breakouts occur in real-time and are not subject to backpainting. Trendlines can however be subject to repainting unless turned off from the user settings.
The indicator includes integrated alerts for trendline breakouts.
🔶 USAGE
snapshot
Any valid trendlines methodology can be used with the indicator, users can identify breakouts in order to infer future price movements.
The calculation method of the slope greatly affects the trendline's behaviors. By default, an average true range is used, returning a more constant slope amongst trendlines. Other methods might return trendlines with significantly different slopes.
Stdev makes use of the standard deviation for the slope calculation, while Linreg makes use of the slope of a linear regression.
snapshot
The above chart shows the indicator using "Stdev" as a slope calculation method. The chart below makes use of the "Linreg" method.
snapshot
By default trendlines are subject to backpainting, and as such are offset by length bars in the past. Disabling backpainting will not offset the trendlines.
snapshot
🔶 SETTINGS
Length: Pivot points period
Slope: Slope steepness, values greater than 1 return a steeper slope. Using a slope of 0 would be equivalent to obtaining levels.
Slope Calculation Method: Determines how the slope is calculated.
Backpaint: Determine whether trendlines are backpainted, that is offset to past.
Oct 5, 2022
Release Notes
Minor changes.
Jul 19, 2023
Release Notes
We have adjusted the "b" signals to be fully real-time. There is an option within the settings to disable backpainting for the trendlines, in which this does not affect the signal labels as they are 100% non-repaint or backpainting.
To update to the latest version, please refresh TradingView & then remove/re-add the Trendlines with Breaks indicator to your chart.