HEMA Trend Levels [AlgoAlpha]OVERVIEW
This script plots two Hull-EMA (HEMA) curves to define a color-coded dynamic trend zone and generate context-aware breakout levels, allowing traders to easily visualize prevailing momentum and identify high-probability breakout retests. The script blends smoothed price tracking with conditional box plotting, delivering both trend-following and mean-reversion signals within one system. It is designed to be simple to read visually while offering nuanced trend shifts and test confirmations.
█ CONCEPTS
The Hull-EMA (HEMA) is a hybrid moving average combining the responsiveness of short EMAs with the smoothness of longer ones. It applies layered smoothing: first by subtracting a full EMA from a half-length EMA (doubling the short EMA's weight), and then by smoothing the result again with the square root of the original length. This process reduces lag while maintaining clarity in direction changes. In this script, two HEMAs—fast and slow—are used to define the trend structure and trigger events when they cross. These crossovers generate "trend shift boxes"—temporary support or resistance zones drawn immediately after trend transitions—to detect price retests in the new direction. When price cleanly retests these levels, the script marks them as confirmations with triangle symbols, helping traders isolate better continuation setups. Color-coded bars further enhance visual interpretation: bullish bars when price is above both HEMAs, bearish when below, and neutral (gray) when indecisive.
█ FEATURES
Bullish and bearish bar coloring based on price and HEMA alignment.
Box plotting at each crossover (bullish or bearish) to create short-term decision zones.
Real-time test detection: price must cleanly test and bounce from box levels to be considered valid.
Multiple alert conditions: crossover alerts, test alerts, and trend continuation alerts.
█ USAGE
Use this indicator on any time frame and asset. Adjust HEMA lengths to match your trading style—shorter lengths for scalping or intraday, longer for swing trading. The shaded area between HEMAs helps visually define the current trend. Watch for crossovers: a bullish crossover plots a green support box just below price, and a bearish one plots a red resistance box just above. These zones act as short-term decision points. When price returns to test a box and confirms with strong rejection (e.g., closes above for bullish or below for bearish), a triangle symbol is plotted. These tests can signal strong trend continuation. For traders looking for clean entries, combining the crossover with a successful retest improves reliability. Alerts can be enabled for all key signals: trend shift, test confirmations, and continuation conditions, making it suitable for automated setups or discretionary traders tracking multiple charts.
Volatility
Dynamic Heat Levels [BigBeluga]This indicator visualizes dynamic support and resistance levels with an adaptive heatmap effect. It helps traders identify key price interaction zones and potential mean reversion opportunities by displaying multiple levels that react to price movement.
🔵Key Features:
Multi-Level Heatmap Channel:
- The indicator plots multiple dynamic levels forming a structured channel.
- Each level represents a historical price interaction zone, helping traders identify critical areas.
- The channel expands or contracts based on market conditions, adapting dynamically to price movements.
Heatmap-Based Strength Indication:
- Levels change in transparency and color intensity based on price interactions for the length period .
- The more frequently price interacts with a level, the more visible and intense the color becomes.
- When a level reaches a threshold (count > 10), it starts to turn red, signaling a high-heat zone with significant price activity.
🔵Usage:
Support & Resistance Analysis: Identify price levels where the market frequently interacts, making them strong areas for trade decisions.
Heatmap Strength Assessment: More intense red levels indicate areas with heavy price activity, useful for detecting key liquidity zones.
Dynamic Heat Levels is a powerful tool for traders looking to analyze price interaction zones with a heatmap effect. It offers a structured visualization of market dynamics, allowing traders to gauge the significance of key levels and detect mean reversion setups effectively.
Dynamic Momentum Bands | AlphaAlgosDynamic Momentum Bands | AlphaAlgos
Overview
The Dynamic Momentum Bands indicator is an advanced technical analysis tool that combines multiple analytical techniques to provide a comprehensive view of market momentum and trend dynamics. By integrating RSI (Relative Strength Index), volatility analysis, and adaptive moving averages, this indicator offers traders a nuanced perspective on market conditions.
Key Features
Adaptive band calculation based on price momentum
Integrated RSI-driven volatility scaling
Multiple moving average type options (EMA, SMA, VWMA)
Smooth, gradient-based band visualization
Optional price bar coloring for trend identification
Technical Methodology
The indicator employs a sophisticated approach to market analysis:
1. Momentum Calculation
Calculates RSI using a customizable length
Uses RSI to dynamically adjust band volatility
Scales band width based on distance from the 50 RSI level
2. Band Construction
Applies a selected moving average type to the price source
Calculates deviation using ATR (Average True Range)
Smooths band edges for improved visual clarity
Configuration Options
Core Settings:
Price Source: Choose the price data used for calculations
RSI Length: Customize the RSI calculation period (1-50)
Band Length: Adjust the moving average period (5-100)
Volatility Multiplier: Fine-tune band width
Band Type: Select between EMA, SMA, and VWMA
Visual Settings:
Bar Coloring: Toggle color-coded price bars
Gradient-based band visualization
Smooth color transitions for trend representation
Trend Identification
The indicator provides trend insights through:
Color-coded bands (blue for bullish, pink for bearish)
Smooth gradient visualization
Optional price bar coloring
Trading Applications
Trend Following:
- Use band position relative to price as trend indicator
- Identify momentum shifts through color changes
- Utilize gradient zones for trend strength assessment
Volatility Analysis:
Observe band width changes
Detect potential breakout or consolidation periods
Use RSI-driven volatility scaling for market context
Best Practices
Adjust RSI length to match trading timeframe
Experiment with different moving average types
Use in conjunction with other technical indicators
Consider volatility multiplier for different market conditions
This indicator is provided for informational purposes only. Always use proper risk management when trading. Past performance is not indicative of future results. Not financial Advise
Low Liquidity Zones [PhenLabs]📊 Low Liquidity Zones
Version: PineScript™ v6
📌 Description
Low Liquidity Zones identifies and highlights periods of unusually low trading volume on your chart, marking areas where price movement occurred with minimal participation. These zones often represent potential support and resistance levels that may be more susceptible to price breakouts or reversals when revisited with higher volume.
Unlike traditional volume analysis tools that focus on high volume spikes, this indicator specializes in detecting low liquidity areas where price moved with minimal resistance. Each zone displays its volume delta, providing insight into buying vs. selling pressure during these thin liquidity periods. This combination of low volume detection and delta analysis helps traders identify potential price inefficiencies and weak structures in the market.
🚀 Points of Innovation
• Identifies low liquidity zones that most volume indicators overlook but which often become significant technical levels
• Displays volume delta within each zone, showing net buying/selling pressure during low liquidity periods
• Dynamically adjusts to different timeframes, allowing analysis across multiple time horizons
• Filters zones by maximum size percentage to focus only on precise price levels
• Maintains historical zones until they expire based on your lookback settings, creating a cumulative map of potential support/resistance areas
🔧 Core Components
• Low Volume Detection: Identifies candles where volume falls below a specified threshold relative to recent average volume, highlighting potential liquidity gaps.
• Volume Delta Analysis: Calculates and displays the net buying/selling pressure within each low liquidity zone, providing insight into the directional bias during low participation periods.
• Dynamic Timeframe Adjustment: Automatically scales analysis periods to match your selected timeframe preference, ensuring consistent identification of low liquidity zones regardless of chart settings.
• Zone Management System: Creates, tracks, and expires low liquidity zones based on your configured settings, maintaining visual clarity on the chart.
🔥 Key Features
• Low Volume Identification: Automatically detects and highlights candles where volume falls below your specified threshold compared to the moving average.
• Volume Delta Visualization: Shows the net volume delta within each zone, providing insight into whether buyers or sellers were dominant despite the low overall volume.
• Flexible Timeframe Analysis: Analyze low liquidity zones across multiple predefined timeframes or use a custom lookback period specific to your trading style.
• Zone Size Filtering: Filters out excessively large zones to focus only on precise price levels, improving signal quality.
• Automatic Zone Expiration: Older zones are automatically removed after your specified lookback period to maintain a clean, relevant chart display.
🎨 Visualization
• Volume Delta Labels: Each zone displays its volume delta with “+” or “-” prefix and K/M suffix for easy interpretation, showing the strength and direction of pressure during the low volume period.
• Persistent Historical Mapping: Zones remain visible for your specified lookback period, creating a cumulative map of potential support and resistance levels forming under low liquidity conditions.
📖 Usage Guidelines
Analysis Timeframe
Default: 1D
Range/Options: 15M, 1HR, 3HR, 4HR, 8HR, 16HR, 1D, 3D, 5D, 1W, Custom
Description: Determines the historical period to analyze for low liquidity zones. Shorter timeframes provide more recent data while longer timeframes offer a more comprehensive view of significant zones. Use Custom option with the setting below for precise control.
Custom Period (Bars)
Default: 1000
Range: 1+
Description: Number of bars to analyze when using Custom timeframe option. Higher values show more historical zones but may impact performance.
Volume Analysis
Volume Threshold Divisor
Default: 0.5
Range: 0.1-1.0
Description: Maximum volume relative to average to identify low volume zones. Example: 0.5 means volume must be below 50% of the average to qualify as low volume. Lower values create more selective zones while higher values identify more zones.
Volume MA Length
Default: 15
Range: 1+
Description: Period length for volume moving average calculation. Shorter periods make the indicator more responsive to recent volume changes, while longer periods provide a more stable baseline.
Zone Settings
Zone Fill Color
Default: #2196F3 (80% transparency)
Description: Color and transparency of the low liquidity zones. Choose colors that stand out against your chart background without obscuring price action.
Maximum Zone Size %
Default: 0.5
Range: 0.1+
Description: Maximum allowed height of a zone as percentage of price. Larger zones are filtered out. Lower values create more precise zones focusing on tight price ranges.
Display Options
Show Volume Delta
Default: true
Description: Toggles the display of volume delta within each zone. Enabling this provides additional insight into buying vs. selling pressure during low volume periods.
Delta Text Position
Default: Right
Options: Left, Center, Right
Description: Controls the horizontal alignment of the delta text within zones. Adjust based on your chart layout for optimal readability.
✅ Best Use Cases
• Identifying potential support and resistance levels that formed during periods of thin liquidity
• Spotting price inefficiencies where larger players may have moved price with minimal volume
• Finding low-volume consolidation areas that may serve as breakout or reversal zones when revisited
• Locating potential stop-hunting zones where price moved on minimal participation
• Complementing traditional support/resistance analysis with volume context
⚠️ Limitations
• Requires volume data to function; will not work on symbols where the data provider doesn’t supply volume information
• Low volume zones don’t guarantee future support/resistance - they simply highlight potential areas of interest
• Works best on liquid instruments where volume data has meaningful fluctuations
• Historical analysis is limited by the maximum allowed box count (500) in TradingView
• Volume delta in some markets may not perfectly reflect buying vs. selling pressure due to data limitations
💡 What Makes This Unique
• Focus on Low Volume: Unlike some indicators that highlight high volume events particularly like our very own TLZ indicator, this tool specifically identifies potentially significant price zones that formed with minimal participation.
• Delta + Low Volume Integration: Combines volume delta analysis with low volume detection to reveal directional bias during thin liquidity periods.
• Flexible Lookback System: The dynamic timeframe system allows analysis across any timeframe while maintaining consistent zone identification criteria.
• Support/Resistance Zone Generation: Automatically builds a visual map of potential technical levels based on volume behavior rather than just price patterns.
🔬 How It Works
1. Volume Baseline Calculation:
The indicator calculates a moving average of volume over your specified period to establish a baseline for normal market participation. This adaptive baseline accounts for natural volume fluctuations across different market conditions.
2. Low Volume Detection:
Each candle’s volume is compared to the moving average and flagged when it falls below your threshold divisor. The indicator also filters zones by maximum size to ensure only precise price levels are highlighted.
3. Volume Delta Integration:
For each identified low volume candle, the indicator retrieves the volume delta from a lower timeframe. This delta value is formatted with appropriate scaling (K/M) and displayed within the zone.
4. Zone Management:
New zones are created and tracked in a dynamic array, with each zone extending rightward until it expires. The system automatically removes expired zones based on your lookback period to maintain a clean chart.
💡 Note:
Low liquidity zones often represent areas where price moved with minimal participation, which can indicate potential market inefficiencies. These zones frequently become important support/resistance levels when revisited, especially if approached with higher volume. Consider using this indicator alongside traditional technical analysis tools for comprehensive market context. For best results, experiment with different volume threshold settings based on the specific instrument’s typical volume patterns.
Layered Supertrend - [NLR]Layered Supertrend is an advanced version of the classic Supertrend indicator. Instead of a single line, it breaks the trend into six clear zones—three showing strength in the current trend, and three signaling a possible reversal. It also includes multiple Supertrend levels (multipliers 1 to 5) to help you see both short-term shifts and long-term trend direction at a glance.
Combine it with MACD Overlay for making better decision.
Market Symphony (Dragon Trader)The "Market Symphony (Dragon Trader)" indicator is a powerful technical analysis tool designed for traders seeking to identify potential buy and sell signals in the financial markets. This indicator combines multiple technical indicators into a single, easy-to-interpret visual display, allowing traders to make informed decisions quickly.
Key Features:
Multi-Indicator Approach: The indicator incorporates a symphony of popular technical indicators, including:
Loxxer
Moving Average Convergence Divergence (MACD)
Relative Strength Index (RSI)
Stochastic Oscillator
Commodity Channel Index (CCI)1
Velocity
Visual Clarity: The indicator utilizes color-coded squares and other shapes to represent buy and sell signals, making it easy to identify potential trading opportunities at a glance.
Customizable Settings: Traders can adjust various parameters to fine-tune the indicator to their specific trading style and market conditions.
Alert Functionality: The indicator provides real-time alerts for potential buy and sell signals, ensuring that traders never miss a trading opportunity.
Bar Coloring: the indicator can color the price bar, to give a better overview of the trend.
Repainting Option: The indicator gives the option to allow repainting in some of its calculations.
How it Works:
The "Market Symphony (Dragon Trader)" indicator analyzes price data using the aforementioned technical indicators. When a confluence of these indicators suggests a potential buy or sell signal, the indicator displays a corresponding visual cue on the chart. Traders can then use this information to make informed trading decisions.
Benefits:
Simplified Analysis: The indicator consolidates multiple technical indicators into a single display, saving traders time and effort.
Improved Accuracy: By considering a range of technical indicators, the indicator can help traders identify more reliable trading signals.
Enhanced Decision-Making: The indicator's clear visual cues and real-time alerts empower traders to make confident trading decisions.
In Conclusion:
The "Market Symphony (Dragon Trader)" indicator is a valuable tool for traders of all experience levels. Its comprehensive approach, visual clarity, and customizable settings make it an essential addition to any trader's arsenal.
I hope this description is helpful.
SOL Scalper - 1M Optimized (v2)Scalp Solana like never before. Optimized for the 1M chart for faster entry and exit. Any suggestions or criticisms leave in the comments please. Hope you can it find useful.
XAU/USD High-Frequency Mean Reversion with Fixed SL and TPdành cho Mái ấm không tình thương. chiến lược của Bin
AG Dynamic Trend ScalperThis Pine Script strategy, "AG Dynamic Trend Scalper," combines multiple technical indicators—including SuperTrend, RSI, Bollinger Bands, and candlestick patterns—with a 365-period EMA trend filter. It trades only during specified hours (03:45 to 10:00 UTC) and uses predefined stop loss and take profit levels for risk management, while also generating alerts for trade entries and exits.
Optimized Supertrend Intraday StrategyThis Optimized Supertrend Intraday Strategy for TradingView is designed for precise intraday trading with the following key modifications:
Entry Timing:
Trades only start at 9:20 AM and stop at 3:15 PM, ensuring trades align with market liquidity.
Entry Conditions (No Crossover):
Instead of relying on ta.crossover or ta.crossunder, this strategy enters trades when the price is positioned relative to the Supertrend:
Long Entry: When price is above both the Supertrend and the higher timeframe Supertrend.
Short Entry: When price is below both Supertrend levels.
Risk & Trade Management:
Uses ATR-based position sizing to control risk.
Incorporates daily loss tracking to stop trading if the loss limit is reached.
Closes all positions at the end of the trading session.
Additional Filters:
RSI Condition: Optional filter to ensure strong trend confirmation.
Volume Filter: Trades only if volume is higher than the 20-period average.
EMA Condition: Optional filter to avoid counter-trend trade
VS-NTC> NASDQ100 Long MA+RSI+ATRThis strategy leverages a moving average crossover to detect potential trend shifts, uses RSI to avoid extreme conditions, and employs an ATR-based stop loss for dynamic risk management. Through testing, it has shown particularly favorable performance on the 15-minute timeframe, striking a balance between capturing intraday trends and avoiding excessive noise often seen on lower timeframes.
Key Points
Moving Average Crossover: Bullish entries are triggered when a faster MA crosses above a slower one, while bearish entries occur on the opposite cross.
RSI Filtering: Incorporates RSI thresholds (e.g. 30/70) to filter out entries where price is extremely overbought or oversold.
ATR Stop Loss: Dynamically sets stop levels using the Average True Range to adjust for changing volatility, aiming to prevent premature stop-outs and protect gains.
Zonas Bollinger LíneaAnother way of visualizing Bollinger Bands, marking the zone in which the price is sitting at the time. Usually Uptrends stay in de yellow and green zones while downtrends sit on the orange and red zones.
Nasan Ultimate Health Index (NUHI)The Nasan Ultimate Health Index (NUHI) is a technical indicator designed to measure the relative health of a stock compared to a benchmark index or sector. By incorporating price action, volume dynamics, and volatility, NUHI provides traders with a clearer picture of a stock’s performance relative to the broader market.
The NUHI is based on the idea that a stock’s relative strength and momentum can be assessed more effectively when adjusted for volume behavior and benchmark comparison. Instead of looking at price movement alone, this indicator factors in:
The stock’s price trend (via EMA)
Volume participation (green vs. red volume) and volume ratio - SMA(volume, 21)/ SMA(volume, 252)
Volatility-adjusted performance (ATR-based scaling)
Comparison with a selected benchmark (e.g., SPX, NDX, sector ETFs)
This results in a normalized and comparative score that helps traders identify outperforming, neutral, and underperforming stocks within a specific market environment.
The NUHI is constructed using the following elements:
1️⃣ Stock Raw Score (Unadjusted Momentum)
The exponential moving average (EMA) of the hlc3 (average of high, low, close) is used to define the price trend.
The difference between the current EMA and the EMA from n bars ago shows whether the stock is gaining or losing momentum.
This difference is divided by the ATR (Average True Range) to adjust for volatility.
2️⃣ Volume Behavior Adjustment
Volume is split into green volume (up candles) and red volume (down candles).
The ratio of green to red volume determines whether buyers or sellers dominate over the selected period (n bars).
If the stock is in an uptrend, green volume is weighted higher; if in a downtrend, red volume is weighted higher.
The stock’s Volume Ratio (short-term SMA divided by long-term SMA) is adjusted based on this weight.
3️⃣ Benchmark Comparison
A similar Raw Score calculation is performed on the selected benchmark (SPX, NDX, or sector ETF).
Benchmark price movements, volume behavior, and ATR adjustments mirror the stock’s calculations.
This provides a reference point for evaluating the stock’s relative strength.
4️⃣ Normalization Process
Both the stock and benchmark raw scores are min-max normalized over the past 252 bars (1-year lookback).
This scales values between 0 and 1, ensuring fair comparisons regardless of absolute price differences.
5️⃣ NUHI Calculation
The final NUHI value is computed using a logarithmic ratio between the normalized stock score and the normalized benchmark score:
This transformation ensures a more symmetrical representation of overperformance and underperformance.
Performance Zones
Strong Outperforming (NUHI between >0.41 and 0.69)
Leading (NUHI between >0.10 and 0.41)
Transitioning Outperformance (NUHI between 0.10 and 0)
Equilibrium (NUHI 0)
Transitioning Underperformance (NUHI between -0.10 and 0)
Lagging (NUHI between < -0.1 and -0.41)
Strong Underperforming (NUHI between< -0.41 and -0.69 )
How to Use NUHI
✅ Identifying Strong Stocks
If NUHI > 0, the stock is outperforming its benchmark.
If NUHI < 0, the stock is underperforming the benchmark.
✅ Trend Confirmation
A steadily rising NUHI and raw score (colored green) suggests sustained strength bullish conditions.
A falling NUHI and raw score (colored orange) indicates weakness and possible rotation into other assets.
✅ Finding Reversals
Bullish Divergence: If NUHI is improving while the stock’s raw score is negative, it may signal a bottoming opportunity.
Bearish Signs: If NUHI is dropping despite price strength, it could hint at underlying weakness.
Why a Stock in a Downtrend Can Have NUHI > 0 (and Vice Versa )
NUHI measures performance relative to both its own history and the benchmark.
A stock’s recent movement is compared to how it usually behaves and how the benchmark is performing.
Example Scenarios:
Stock in a Downtrend but NUHI > 0
The stock may still be in a downtrend (negative raw score), but it’s performing better relative to its past downtrend behavior and better than the benchmark over the same period.
This could mean it’s showing relative strength compared to the broader market or sector.
Stock in an Uptrend but NUHI < 0
Even in a uptrend (positive raw score), the stock might be underperforming relative to its past uptrend behavior and underperforming the benchmark.
What This Means:
NUHI > 0 in a downtrend → The stock is falling less aggressively than usual and/or holding up better than the benchmark.
NUHI < 0 in an uptrend → The stock is gaining less than expected based on its history and/or lagging behind the benchmark.
NUHI helps identify relative strength or weakness .
MFI + RSI + MOM With Bull & Bear Trend Label (Default)Unleash the Power of Momentum with the MFI + RSI + MOM Indicator
In the fast-paced world of trading, staying ahead of market trends is paramount. The "MFI + RSI + MOM With Bull & Bear Trend Label (Default)" indicator is your ultimate tool for deciphering market momentum and making informed trading decisions.
Key Features:
Comprehensive Momentum Analysis: This indicator seamlessly integrates three powerful momentum indicators: Money Flow Index (MFI), Relative Strength Index (RSI), and Momentum (MOM).
Bull & Bear Trend Labels: Instantly identify bullish and bearish trends with clear, color-coded labels, empowering you to capitalize on emerging opportunities.
Customizable Parameters: Tailor the indicator to your unique trading style with adjustable parameters for MFI, RSI, and Momentum lengths, as well as line and fill colors.
Dynamic Table Display: Stay informed with a real-time table displaying the current trend labels and values for MFI, RSI, and Momentum.
How It Works:
The indicator calculates and normalizes MFI, RSI, and Momentum values, plotting them as lines with customizable color fills. It then generates dynamic labels that reflect the prevailing bullish or bearish sentiment based on these calculations.
Why Choose This Indicator?
Enhanced Market Insights: Gain a holistic understanding of market momentum with the combined power of MFI, RSI, and Momentum.
Simplified Trend Identification: Quickly spot potential entry and exit points with clear bull and bear trend labels.
Customizable and User-Friendly: Adapt the indicator to your preferences and enjoy a seamless trading experience.
Elevate Your Trading Strategy
The "MFI + RSI + MOM With Bull & Bear Trend Label (Default)" indicator is your gateway to unlocking the full potential of momentum-based trading. Empower yourself with the insights you need to make confident and profitable trades.
Disclaimer:
Trading involves risk. Use this indicator responsibly and in conjunction with other sound trading strategies. Past performance is not indicative of future results.
Nef33-Volume Footprint ApproximationDescription of the "Volume Footprint Approximation" Indicator
Purpose
The "Volume Footprint Approximation" indicator is a tool designed to assist traders in analyzing market volume dynamics and anticipating potential trend changes in price. It is inspired by the concept of a volume footprint chart, which visualizes the distribution of trading volume across different price levels. However, since TradingView does not provide detailed intrabar data for all users, this indicator approximates the behavior of a footprint chart by using available volume and price data (open, close, volume) to classify volume as buy or sell, calculate volume delta, detect imbalances, and generate trend change signals.
The indicator is particularly useful for identifying areas of high buying or selling activity, imbalances between supply and demand, delta divergences, and potential reversal points in the market. It provides specific signals for bullish and bearish trend changes, making it suitable for traders looking to trade reversals or confirm trends.
How It Works
The indicator uses volume and price data from each candlestick to perform the following calculations:
Volume Classification:
Classifies the volume of each candlestick as "buy" or "sell" based on price movement:
If the closing price is higher than the opening price (close > open), the volume is classified as "buy."
If the closing price is lower than the opening price (close < open), the volume is classified as "sell."
If the closing price equals the opening price (close == open), it compares with the previous close to determine the direction:
If the current close is higher than the previous close, it is classified as "buy."
If the current close is lower than the previous close, it is classified as "sell."
If the current close equals the previous close, the classification from the previous bar is used.
Delta Calculation:
Calculates the volume delta as the difference between buy volume and sell volume (buyVolume - sellVolume).
A positive delta indicates more buy volume; a negative delta indicates more sell volume.
Imbalance Detection:
Identifies imbalances between buy and sell volume:
A buy imbalance occurs when buy volume exceeds sell volume by a defined percentage (default is 300%).
A sell imbalance occurs when sell volume exceeds buy volume by the same percentage.
Delta Divergence Detection:
Positive Delta Divergence: Occurs when the price is falling (for at least 2 bars) but the delta is increasing or becomes positive, indicating that buyers are entering despite the price decline.
Negative Delta Divergence: Occurs when the price is rising (for at least 2 bars) but the delta is decreasing or becomes negative, indicating that sellers are entering despite the price increase.
Trend Change Signals:
Bullish Signal (trendChangeBullish): Generated when the following conditions are met:
There is a positive delta divergence.
The delta has moved from a negative value (e.g., -500) to a positive value (e.g., +200) over the last 3 bars.
There is a buy imbalance.
The price is near a historical support level (approximated as the lowest low of the last 50 bars).
Bearish Signal (trendChangeBearish): Generated when the following conditions are met:
There is a negative delta divergence.
The delta has moved from a positive value (e.g., +500) to a negative value (e.g., -200) over the last 3 bars.
There is a sell imbalance.
The price is near a historical resistance level (approximated as the highest high of the last 50 bars).
Visual Elements
The indicator is displayed in a separate panel below the price chart (overlay=false) and includes the following elements:
Volume Histograms:
Buy Volume: Represented by a green histogram. Shows the volume classified as "buy."
Sell Volume: Represented by a red histogram. Shows the volume classified as "sell."
Note: The histograms overlap, and the last plotted histogram (red) takes visual precedence, meaning the sell volume may cover the buy volume if it is larger.
Delta Line:
Delta Volume: Represented by a blue line. Shows the difference between buy and sell volume.
A line above zero indicates more buy volume; a line below zero indicates more sell volume.
A dashed gray horizontal line marks the zero level for easier interpretation.
Imbalance Backgrounds:
Buy Imbalance: Light green background when buy volume exceeds sell volume by the defined percentage.
Sell Imbalance: Light red background when sell volume exceeds buy volume by the defined percentage.
Divergence Backgrounds:
Positive Delta Divergence: Lime green background when a positive delta divergence is detected.
Negative Delta Divergence: Fuchsia background when a negative delta divergence is detected.
Trend Change Signals:
Bullish Signal: Green label with the text "Bullish Trend Change" when the conditions for a bullish trend change are met.
Bearish Signal: Red label with the text "Bearish Trend Change" when the conditions for a bearish trend change are met.
Information Labels:
Below each bar, a label displays:
Total Vol: The total volume of the bar.
Delta: The delta volume value.
Alerts
The indicator generates the following alerts:
Positive Delta Divergence: "Positive Delta Divergence Detected! Price is falling, but delta is increasing."
Negative Delta Divergence: "Negative Delta Divergence Detected! Price is rising, but delta is decreasing."
Bullish Trend Change Signal: "Bullish Trend Change Signal! Positive Delta Divergence, Delta Rise, Buy Imbalance, and Near Support."
Bearish Trend Change Signal: "Bearish Trend Change Signal! Negative Delta Divergence, Delta Drop, Sell Imbalance, and Near Resistance."
These alerts can be configured in TradingView to receive real-time notifications.
Adjustable Parameters
The indicator allows customization of the following parameters:
Imbalance Threshold (%): The percentage required to detect an imbalance between buy and sell volume (default is 300%).
Lookback Period for Divergence: Number of bars to look back for detecting price and delta trends (default is 2 bars).
Support/Resistance Lookback Period: Number of bars to look back for identifying historical support and resistance levels (default is 50 bars).
Delta High Threshold (Bearish): Minimum delta value 2 bars ago for the bearish signal (default is +500).
Delta Low Threshold (Bearish): Maximum delta value in the current bar for the bearish signal (default is -200).
Delta Low Threshold (Bullish): Maximum delta value 2 bars ago for the bullish signal (default is -500).
Delta High Threshold (Bullish): Minimum delta value in the current bar for the bullish signal (default is +200).
Practical Use
The indicator is useful for the following purposes:
Identifying Trend Changes:
The trend change signals (trendChangeBullish and trendChangeBearish) indicate potential price reversals. For example, a bullish signal near a support level may be an opportunity to enter a long position.
Detecting Divergences:
Delta divergences (positive and negative) can anticipate trend changes by showing a disagreement between price movement and underlying buying/selling pressure.
Finding Key Levels:
Imbalances (green and red backgrounds) often coincide with support and resistance levels, helping to identify areas where the market might react.
Confirming Trends:
A consistently positive delta in an uptrend or a negative delta in a downtrend can confirm the strength of the trend.
Identifying Failed Auctions:
Although not detected automatically, you can manually identify failed auctions by observing a price move to new highs/lows with decreasing volume in the direction of the move.
Limitations
Intrabar Data: It does not use detailed intrabar data, making it less precise than a native footprint chart.
Approximations: Volume classification and support/resistance detection are approximations, which may lead to false signals.
Volume Dependency: It requires reliable volume data, so it may be less effective on assets with inaccurate volume data (e.g., some forex pairs).
False Signals: Divergences and imbalances do not always indicate a trend change, especially in strongly trending markets.
Recommendations
Combine with Other Indicators: Use tools like RSI, MACD, support/resistance levels, or candlestick patterns to confirm signals.
Trade on Higher Timeframes: Signals are more reliable on higher timeframes like 1-hour or 4-hour charts.
Perform Backtesting: Evaluate the indicator's accuracy on historical data to adjust parameters and improve effectiveness.
Adjust Parameters: Modify thresholds (e.g., imbalanceThreshold or supportResistanceLookback) based on the asset and timeframe you are trading.
Conclusion
The "Volume Footprint Approximation" indicator is a powerful tool for analyzing volume dynamics and anticipating price trend changes. By classifying volume, calculating delta, detecting imbalances and divergences, and generating trend change signals, it provides traders with valuable insights into market buying and selling pressure. While it has limitations due to the lack of intrabar data, it can be highly effective when used in combination with other technical analysis tools and on assets with reliable volume data.
ETH Auto Buy Bot//@version=5
strategy("ETH Auto Buy Bot", overlay=true)
// Define Buy Conditions
rsi = ta.rsi(close, 14) // 14-period RSI
buySignal = ta.crossover(rsi, 30) // Buy when RSI crosses above 30 (oversold)
// Plot Buy Signal on Chart
plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, size=size.small, title="BUY")
// Alert for Webhook
alertcondition(buySignal, title="Buy ETH", message="BUY ETH NOW")
// Execute Buy Order (for Strategy Backtesting)
if buySignal
strategy.entry("Buy_ETH", strategy.long)
Crypto Futures Day Trading StrategySummary of the Strategy
Chart: 15-minute
Buy Signal:
5 SMA > 20 SMA
RSI < 70
Price not above upper BB
Sell Signal:
5 SMA < 20 SMA
RSI > 30
Price not below lower BB
Stop-Loss: 2 ATR from entry
Take-Profit: 4 ATR from entry
Risk: 1% of account per trade
Quantum Pulse ProQuantum Pulse Pro
A Multi-Filter Trading System for Futures Contracts
🔍 Purpose
The Quantum Pulse Pro indicator combines 7 technical criteria to identify high-probability trading signals in volatile markets:
Trend detection (dynamic EMA)
ATR-adjusted support/resistance zones
Hybrid momentum (RSI + MACD)
Volume, ADX, and volatility (ATR) filters
Multi-timeframe confirmation (H1)
⚙️ Core Logic
Trend Analysis:
Custom EMA (colored green/red for direction)
Key Levels:
Dynamic support/resistance based on ATR
Adjustable proximity threshold to avoid false breakouts
Momentum Engine:
RSI (overbought/oversold) + MACD (crossovers) hybrid
Advanced Filters:
Volume > 20-period average (default: 1.2x multiplier)
ADX > 15 to confirm trend strength
Volatility range (ATR between 0.2% and 4% to filter choppy/extreme markets)
H1 Validation:
Alignment with higher timeframe trend
📈 How to Use
Buy Signals:
✅ Price near support + Green EMA
✅ Positive momentum + High volume
✅ ADX > 15 + ATR in optimal range
✅ (Optional) H1 uptrend confirmation
Sell Signals:
✅ Price near resistance + Red EMA
✅ Negative momentum + High volume
✅ ADX > 15 + ATR in optimal range
✅ (Optional) H1 downtrend confirmation
⚡ Customizable Parameters
EMA/ATR lengths
Volume, ADX, and ATR thresholds
Toggle filters on/off
📉 Recommended Timeframes
Futures: M15/H1 (scalping), H4 (swing)
Forex: H1/D1
🌟 Why This Indicator Stands Out
Innovation: Unique blend of RSI-weighted momentum and dynamic ATR zones.
Adaptability: Modular filters suit all trading styles (scalping/day trading).
Rigor: Multi-layer validation (volume, H1 trend, volatility).
Inspired by Mr. Belkhayate’s methods, optimized for modern markets.
📌 Publishing Tips
Chart: Display only this indicator (no overlapping scripts).
Screenshot Example: Include:
Clear buy/sell signals (visible arrows).
Default settings in a corner.
Vega Drop Scalping ScannerVega Drop Strategy is a strategy that will you give you precise entry on when to exit or enter. For Example if Vega for CE Drops, you enter on PE and vice versa.
PierrePressure TTM Squeeze OscillatorPHEMEX:BTCUSDT The oscillator is calculated as the difference between the width of the Keltner Channels and the width of the Bollinger Bands.
Negative values indicate that the Bollinger Bands are inside the Keltner Channels (squeeze is on).
Positive values indicate that the squeeze has released.
Breakout Signal:
When the oscillator turns positive (i.e., a squeeze release occurs), the script checks the current candle:
Bullish Breakout: If the candle closes above its open.
Bearish Breakout: If the candle closes below its open.
A corresponding label ("Bull" or "Bear") is plotted on the chart.
Usage:
Monitor the Histogram:
Below zero: Market is in a low-volatility squeeze.
Above zero: Squeeze has released, signaling a potential breakout.
Breakout Confirmation:
Use the breakout signal (bullish or bearish) to time your entries along with your ORB strategy.
This oscillator focuses solely on the TTM Squeeze and breakout signal, making it a great addition to your ORB strategy.
Bollinger Bands RangeThis is simple range between upper band and lower band. i created this as no other indicator is offering this simple range calculations.