McCrayTrendTraders often rely on price breaking above or below the 50-day moving average (50D-MA) as a buy/sell signal. However, this approach frequently results in false breakouts, especially during low-volatility periods when price compression precedes major moves. To address this issue, we use an 8-day exponential moving average (8D-EMA) to represent price and focus on the crossovers between the 8D-EMA and the 48D-EMA as entry/exit signals. This method reduces noise in low-volatility conditions, enables earlier trend entries, and helps traders stay in trends longer.
The indicator incorporates a 111-day EMA (111D-EMA) to define market bias:
• Above the 111D-EMA: Bias is long, favoring buying and selling into cash.
• Below the 111D-EMA: Bias is short, favoring selling and buying into cash.
An exception to this rule occurs when a bullish cross happens within 40% of the 200-week moving average (200W-MA), as these conditions historically signal optimal times to acquire BTC.
Signals:
Buy signals:
• A bullish cross while price is above the 111D-EMA.
• A bullish cross near the 200W-MA threshold (optional setting).
Sell signals:
• A bearish cross while price is below the 111D-EMA.
Exit signals:
• Both EMAs turn red (for long trades) or green (for short trades).
• The shading between the 111D-EMA and 200W-MA turns red (for longs) or green (for shorts), if enabled.
Reversal opportunities:
• A buy or sell label during an exit signal may indicate a reversal point, allowing traders to take profit and reopen positions in the opposite direction.
The methodology behind this indicator has generated 132% alpha since October 6, 2015. Special thanks to Anurag Parashar for refining the stylistic elements of the indicator.
Phân tích Xu hướng
16. SMC Strategy with SL - low TimeframeOverview
The "SMC Strategy with SL - low Timeframe" is a comprehensive trading strategy that uses key concepts from Smart Money Theory to identify favorable areas in the market for buying or selling. This strategy takes advantage of price imbalances, support and resistance zones, and swing highs/lows to generate high-probability trade signals.
The key features of this strategy include:
Swing High/Low Analysis: Used to determine the Premium, Equilibrium, and Discount Zones.
Order Block Integration: An added layer of confluence to identify valid buy and sell signals.
Trend Direction Confirmation: Using a Simple Moving Average (SMA) to determine the overall trend.
Entry and Exit Rules: Based on price position relative to key zones and moving average, along with optional stop-loss and take-profit levels.
Detailed Description
Swing High and Swing Low Analysis
The script calculates Swing High and Swing Low based on the most recent price highs and lows over a specified look-back period (swingHighLength and swingLowLength, set to 8 by default).
It then derives the Premium, Equilibrium, and Discount Zones:
Premium Zone: Represents potential resistance, calculated based on recent swing highs.
Discount Zone: Represents potential support, calculated based on recent swing lows.
Equilibrium: The midpoint between Swing High and Swing Low, dividing the price range into Premium (above equilibrium) and Discount (below equilibrium) areas.
Zone Visualization
The strategy plots the Premium Zone (resistance) in red, the Discount Zone (support) in green, and the Equilibrium level in blue on the chart. This helps visually assess the current price relative to these important areas.
Simple Moving Average (SMA)
A 50-period Simple Moving Average (SMA) is added to help identify the trend direction.
Buy signals are valid only if the price is above the SMA, indicating an uptrend.
Sell signals are valid only if the price is below the SMA, indicating a downtrend.
Entry Rules
The script generates buy or sell signals when certain conditions are met:
A buy signal is triggered when:
Price is below the Equilibrium and within the Discount Zone.
Price is above the SMA.
The buy signal is further confirmed by the presence of an Order Block (recent lowest price area).
A sell signal is triggered when:
Price is above the Equilibrium and within the Premium Zone.
Price is below the SMA.
The sell signal is further confirmed by the presence of an Order Block (recent highest price area).
Order Block
The strategy defines Order Blocks as recent highs and lows within a look-back period (orderBlockLength set to 20 by default).
These blocks represent areas where large players (smart money) have historically been active, increasing the probability of the price reacting in these areas again.
Trade Management and Trade Direction
The user can set Trade Direction to either "Long Only," "Short Only," or "Both." This allows the strategy to adapt based on market conditions or trading preferences.
Based on the Trade Direction, the strategy either:
Closes open trades that are against new signals.
Allows only specific directional trades (either long or short).
Stop-loss levels are defined based on a fixed percentage (stop_loss_percent), which helps to manage risk and minimize losses.
Exit Rules
The strategy uses stop-loss levels for risk management.
A stop-loss price is set at a fixed percentage below the entry price for long positions or above the entry price for short positions.
When the price hits the defined stop-loss level, the trade is closed.
Liquidity Zones
The script identifies recent Swing Highs and Lows as potential liquidity zones. These are levels where price could react strongly, as they represent areas of interest for large traders.
The liquidity zones are plotted as crosses on the chart, marking areas where price may encounter significant buying or selling pressure.
Visual Feedback
The script uses visual markers (green for buy signals and red for sell signals) to indicate potential entries on the chart.
It also plots liquidity zones to help traders identify areas where stop hunts and liquidity grabs might occur.
Monthly Performance Dashboard
The script includes a performance tracking feature that displays monthly profit and loss metrics on the chart.
This dashboard allows the trader to see a visual representation of trading performance over time, providing insights into profitability and consistency.
The table shows profit or loss for each month and year, allowing the user to track the overall success of the strategy.
Key Benefits
Smart Money Concepts (SMC): This strategy incorporates SMC principles like order blocks and liquidity zones, which are used by institutional traders to determine potential market moves.
Zone Analysis: The use of Premium, Discount, and Equilibrium zones provides a solid framework for determining where to enter and exit trades based on price discounts or premiums.
Confluence: Signals are not taken in isolation. They are confirmed by factors like trend direction (SMA) and order blocks, providing greater trade accuracy.
Risk Management: By integrating stop-loss functionality, traders can manage their risks effectively.
Visual Performance Metrics: The monthly and yearly performance dashboard gives valuable feedback on how well the strategy has performed historically.
Practical Use
Buy in Discount Zone: Traders would be looking to buy when the price is discounted relative to its recent range and is above the SMA, indicating an overall uptrend.
Sell in Premium Zone: Conversely, traders would be looking to sell when the price is at a premium relative to its recent range and below the SMA, indicating an overall downtrend.
Order Block Confirmation: Ensures that buying or selling is supported by historical price behavior at significant levels, providing confidence that the market is likely to react at these areas.
This strategy is designed to help traders take advantage of price inefficiencies and areas where institutional traders are likely to be active, increasing the odds of successful trades. By leveraging Smart Money concepts and strong technical confluence, it aims to provide high-probability trade setups.
simple swing indicator-KTRNSE:NIFTY
1. Pivot High/Low as Lines:
Purpose: Identifies local peaks (pivot highs) and troughs (pivot lows) in price and draws horizontal lines at these levels.
How it Works:
A pivot high occurs when the price is higher than the surrounding bars (based on the pivotLength parameter).
A pivot low occurs when the price is lower than the surrounding bars.
These pivots are drawn as horizontal lines at the price level of the pivot.
Visualization:
Pivot High: A red horizontal line is drawn at the price level of the pivot high.
Pivot Low: A green horizontal line is drawn at the price level of the pivot low.
Example:
Imagine the price is trending up, and at some point, it forms a peak. The script identifies this peak as a pivot high and draws a red line at the price of that peak. Similarly, if the price forms a trough, the script will draw a green line at the low point.
2. Moving Averages (20-day and 50-day):
Purpose: Plots the 20-day and 50-day simple moving averages (SMA) on the chart.
How it Works:
The 20-day SMA smooths the closing price over the last 20 days.
The 50-day SMA smooths the closing price over the last 50 days.
These lines provide an overview of short-term and long-term price trends.
Visualization:
20-day SMA: A blue line showing the 20-day moving average.
50-day SMA: An orange line showing the 50-day moving average.
Example:
When the price is above both moving averages, it indicates an uptrend. If the price crosses below these averages, it might signal a downtrend.
3. Supertrend:
Purpose: The Supertrend is an indicator based on the Average True Range (ATR) and is used to track the market trend.
How it Works:
When the market is in an uptrend, the Supertrend line will be green.
When the market is in a downtrend, the Supertrend line will be red.
Visualization:
Uptrend: The Supertrend line will be plotted in green.
Downtrend: The Supertrend line will be plotted in red.
Example:
If the price is above the Supertrend, the market is considered to be in an uptrend, and if the price is below the Supertrend, the market is in a downtrend.
4. Momentum (Rate of Change):
Purpose: Measures the rate at which the price changes over a set period, showing if the momentum is positive or negative.
How it Works:
The Rate of Change (ROC) measures how much the price has changed over a certain number of periods (e.g., 14).
Positive ROC indicates upward momentum, and negative ROC indicates downward momentum.
Visualization:
Positive ROC: A purple line is plotted above the zero line.
Negative ROC: A purple line is plotted below the zero line.
Example:
If the ROC line is above zero, it means the price is increasing, suggesting bullish momentum. If the ROC is below zero, it indicates bearish momentum.
5. Volume:
Purpose: Displays the volume of traded assets, giving insight into the strength of price movements.
How it Works:
The script will color the volume bars based on whether the price closed higher or lower than the previous bar.
Green bars indicate bullish volume (closing price higher than the previous bar), and red bars indicate bearish volume (closing price lower than the previous bar).
Visualization:
Bullish Volume: Green volume bars when the price closes higher.
Bearish Volume: Red volume bars when the price closes lower.
Example:
If you see a green volume bar, it suggests that the market is participating in an uptrend, and the price has closed higher than the previous period. Red bars indicate a downtrend or selling pressure.
6. MACD (Moving Average Convergence Divergence):
Purpose: The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of the price.
How it Works:
The MACD Line is the difference between the 12-period EMA (Exponential Moving Average) and the 26-period EMA.
The Signal Line is the 9-period EMA of the MACD Line.
The MACD Histogram shows the difference between the MACD line and the Signal line.
Visualization:
MACD Line: A blue line representing the difference between the 12-period and 26-period EMAs.
Signal Line: An orange line representing the 9-period EMA of the MACD line.
MACD Histogram: A red or green histogram that shows the difference between the MACD line and the Signal line.
Example:
When the MACD line crosses above the Signal line, it’s considered a bullish signal. When the MACD line crosses below the Signal line, it’s considered a bearish signal.
Full Chart Example:
Imagine you're looking at a price chart with all the indicators:
Pivot High/Low Lines are drawn as red and green horizontal lines.
20-day and 50-day SMAs are plotted as blue and orange lines, respectively.
Supertrend shows a green or red line indicating the trend.
Momentum (ROC) is shown as a purple line oscillating around zero.
Volume bars are green or red based on whether the close is higher or lower.
MACD appears as a blue line and orange line, with a red or green histogram showing the MACD vs. Signal line difference.
How the Indicators Work Together:
Trend Confirmation: If the price is above the Supertrend line and both SMAs are trending up, it indicates a strong bullish trend.
Momentum: If the ROC is positive and the MACD line is above the Signal line, it further confirms bullish momentum.
Volume: Increasing volume, especially with green bars, suggests that the trend is being supported by active participation.
By using these combined indicators, you can get a comprehensive view of the market's trend, momentum, and potential reversal points (via pivot highs and lows).
Adaptive DEMA Momentum Oscillator (ADMO)Overview:
The Adaptive DEMA Momentum Oscillator (ADMO) is an open-source technical analysis tool developed to measure market momentum using a Double Exponential Moving Average (DEMA) and adaptive standard deviation. By dynamically combining price deviation from the moving average with normalized standard deviation, ADMO provides traders with a powerful way to interpret market conditions.
Key Features:
Double Exponential Moving Average (DEMA):
The core calculation of the indicator is based on DEMA, which is known for being more responsive to price changes compared to traditional moving averages. This makes the ADMO capable of capturing trend momentum effectively.
Standard Deviation Integration:
A normalized standard deviation is used to adaptively weight the oscillator. This makes the indicator more sensitive to market volatility, enhancing responsiveness during high volatility and reducing sensitivity during calmer periods.
Oscillator Representation:
The final oscillator value is derived from the combination of the DEMA-based Z-score and the normalized standard deviation. This final value is visualized as a color-coded histogram, reflecting bullish or bearish momentum.
Color-Coded Histogram:
Bullish Momentum: Values above zero are colored using a customizable bullish color (default: light green).
Bearish Momentum: Values below zero are colored using a customizable bearish color (default: red).
How It Works:
Inputs:
DEMA Length: Defines the period used for calculating the Double Exponential Moving Average. It can be adjusted from 1 to 200 to suit different trading styles.
Standard Deviation Length: Sets the lookback period for standard deviation calculations, which influences the responsiveness of the oscillator.
Standard Deviation Weight (StdDev Weight): Controls the weight given to the normalized standard deviation, allowing customization of the oscillator's sensitivity to volatility.
Calculation Steps:
Double Exponential Moving Average Calculation:
The DEMA is calculated using two exponential moving averages, which helps in reducing lag compared to a simple moving average.
Z-score Calculation:
The Z-score is derived by comparing the difference between the DEMA and its smoothed average (LSMA) to the standard deviation. This indicates how far the current value is from the mean in units of standard deviation.
Normalized Standard Deviation:
The standard deviation is normalized by subtracting the mean standard deviation and dividing by the standard deviation of the values. This helps to make the oscillator adaptive to recent changes in volatility.
Final Oscillator Value:
The final value is calculated by multiplying the Z-score with a factor based on the normalized standard deviation, resulting in a momentum indicator that adapts to different market conditions.
Visualization:
Histogram: The oscillator is plotted as a histogram, with color-coded bars showing the strength and direction of market momentum.
Positive (bullish) values are shown in green, indicating upward momentum.
Negative (bearish) values are shown in red, indicating downward momentum.
Zero Line: A zero line is plotted to provide a reference point, helping users quickly determine whether the current momentum is bullish or bearish.
Example Use Cases:
Momentum Identification:
ADMO helps identify the current market momentum by dynamically adapting to changes in market volatility. When the histogram is above zero and green, it indicates bullish conditions, whereas values below zero and red suggest bearish momentum.
Volatility-Adjusted Signals:
The normalized standard deviation weighting allows the ADMO to provide more reliable signals during different market conditions. This makes it particularly useful for traders who want to be responsive to market volatility while avoiding false signals.
Trend Confirmation and Divergence:
ADMO can be used to confirm the strength of a trend or identify potential divergences between price and momentum. This helps traders spot potential reversal points or continuation signals.
Summary:
The Adaptive DEMA Momentum Oscillator (ADMO) offers a unique approach by combining momentum analysis with adaptive standard deviation. The integration of DEMA makes it responsive to price changes, while the standard deviation adjustment helps it stay relevant in both high and low volatility environments. It's a versatile tool for traders who need an adaptive, momentum-based approach to technical analysis.
Feel free to explore the code and adapt it to your trading strategy. The open-source nature of this tool allows you to adjust the settings and visualize the output to fit your personal trading preferences.
Simple Moving Average with Regime Detection by iGrey.TradingThis indicator helps traders identify market regimes using the powerful combination of 50 and 200 SMAs. It provides clear visual signals and detailed metrics for trend-following strategies.
Key Features:
- Dual SMA System (50/200) for regime identification
- Colour-coded candles for easy trend visualisation
- Metrics dashboard
Core Signals:
- Bullish Regime: Price < 200 SMA
- Bearish Regime: Price > 200 SMA
- Additional confirmation: 50 SMA Cross-over or Cross-under (golden cross or death cross)
Metrics Dashboard:
- Current Regime Status (Bull/Bear)
- SMA Distance (% from price to 50 SMA)
- Regime Distance (% from price to 200 SMA)
- Regime Duration (bars in current regime)
Usage Instructions:
1. Apply the indicator to your chart
2. Configure the SMA lengths if desired (default: 50/200)
3. Monitor the color-coded candles:
- Green: Bullish regime
- Red: Bearish regime
4. Use the metrics dashboard for detailed analysis
Settings Guide:
- Length: Short-term SMA period (default: 50)
- Source: Price calculation source (default: close)
- Regime Filter Length: Long-term SMA period (default: 200)
- Regime Filter Source: Price source for regime calculation (default: close)
Trading Tips:
- Use bullish regimes for long positions
- Use bearish regimes for capital preservation or short positions
- Consider regime duration for trend strength
- Monitor distance metrics for potential reversals
- Combine with other systems for confluence
#trend-following #moving average #regime #sma #momentum
Risk Management:
- Not a standalone trading system
- Should be used with proper position sizing
- Consider market conditions and volatility
- Always use stop losses
Best Practices:
- Monitor multiple timeframes
- Use with other confirmation tools
- Consider fundamental factors
Version: 1.0
Created by: iGREY.Trading
Release Notes
// v1.1 Allows table overlay customisation
// v1.2 Update to v6 pinescript
First 15-Min Candle Detector [With Breakout Alerts]Indicator: First 15-Minute Candle Detector
Purpose
This indicator helps traders by identifying and marking the high, low, and mid-point of the first 15-minute candle of the market session. It also provides visual aids and alerts for price breakouts above or below these levels, making it ideal for intraday trading strategies.
This script is suitable for traders focusing on early session momentum or reversal strategies.
Key Features
Market Start Customization: Configure the market start time (hour and minute) to align with your trading session or exchange timezone.
Visual Aids:
Horizontal lines to mark the High , Low , and Mid-point of the first 15-minute candle.
Background highlighting to identify the first 15-minute candle.
Configurable colors and line widths for clear visuals.
Breakout Alerts:
Real-time alerts for breakouts above the high or below the low of the first 15-minute candle.
Customizable alert messages.
Alerts configured using alertcondition .
Dynamic Adjustments:
Adapts dynamically to timeframes of 15 minutes or lower.
Resets and recalculates at the start of each new session.
Inputs and Configurations
Market Settings:
Market Start Hour: Default is 9.
Market Start Minute: Default is 30.
Visual Settings:
Enable/disable background highlighting.
Set colors for the background, high line, low line, and mid-line.
Adjust line width (1 to 5).
Toggle the visibility of the mid-line.
Alert Settings:
Enable breakout alerts.
Set custom alert messages for high and low breakouts.
How It Works
// First 15-Minute Candle Detection
The indicator monitors the first 15-minute candle after the market opens based on the configured start time. It records the high , low , and calculates the mid-point of this candle.
// Visual Markings
Horizontal lines are drawn at the high, low, and mid-point of the first 15-minute candle, extending to the right for the rest of the session.
// Breakout Detection
The indicator checks for price breakouts above the high or below the low of the first 15-minute candle and triggers alerts if enabled.
// Dynamic Reset
The indicator resets values and deletes previous session lines at the start of each new session.
Conditions and Alerts
Breakout Conditions:
High Breakout: The closing price exceeds the high of the first 15-minute candle.
Low Breakout: The closing price falls below the low of the first 15-minute candle.
Alert Triggers: Configurable alerts notify you of breakouts in real-time.
Use Cases
Intraday Traders: Ideal for early-session momentum or reversal strategies.
Breakout Traders: Helps identify entry points when price breaks key levels.
Visual Clarity: Simplifies tracking important session levels.
Limitations
Works only on 15-minute or lower timeframes.
Requires accurate market start time configuration.
Buying and Selling PressureThis indicator estimates and visualizes the buying and selling pressure within each bar by distributing the volume based on where the closing price falls within the bar's range. It calculates cumulative buying and selling volumes over the last 10 bars and plots these values, allowing traders to assess market sentiment and potential shifts in momentum.
This indicator provides valuable insights into market dynamics by estimating buying and selling pressures over a set period. By visualizing these pressures, you can enhance your understanding of market sentiment and improve decision-making processes. It's most effective when used alongside other forms of analysis, such as price action, support and resistance levels, and additional technical indicators.
Note: Always thoroughly test any new indicator or trading strategy before applying it to live trading. Understanding how it behaves under different market conditions ensures it aligns with your trading objectives and risk management practices.
Price Time Filtering Bar CountThis script is designed to identify and visualize market trends by analyzing price action over a specified aggregation period. Detailed breakdown of its functionality:
Trend Identification
Uptrend Detection:
An uptrend is signaled when the closing price of the previous bar is higher than the high price from two bars ago.
Downtrend Detection:
A downtrend is indicated when the closing price of the previous bar is lower than the low price from two bars ago.
Trend Continuation:
If neither condition is met, the current trend continues from the previous bar.
Trend Counting
Counter Initialization:
A counter (count) keeps track of the number of consecutive bars in the current trend.
Counter Reset:
When a new trend is detected (change from uptrend to downtrend or vice versa), the counter resets to 1.
Counter Increment:
If the trend continues, the counter increments by 1 for each new bar in the same trend.
Visualization
BarCount Plot:
The BarCount variable represents the current count of trend bars.
Positive Values: Indicate the number of bars in an uptrend.
Negative Values: Indicate the number of bars in a downtrend.
Zero or na: Represents no clear trend or initialization phase.
Histogram Style:
The BarCount is plotted as a histogram, providing a visual representation of trend strength and duration.
Color Coding
Uptrend Color:
Bars and histogram columns are colored teal (or the color assigned to UptrendColor) when in an uptrend.
Downtrend Color:
Bars and histogram columns are colored orange (or the color assigned to DowntrendColor) when in a downtrend.
Customizable Coloring:
The paintBars input allows users to enable or disable the coloring of price bars according to the current trend.
Aggregation Period
User Input:
The aggregationPeriod input lets users specify a timeframe for the indicator's calculations.
If left empty, the indicator uses the chart's current timeframe.
Data Fetching:
The indicator retrieves close, high, and low prices based on the specified aggregation period using the request.security function.
How It Works Together
Data Retrieval:
The indicator fetches the necessary price data (secAggClose, secAggHigh, secAggLow) based on the chosen timeframe.
Trend Calculation:
It compares the previous closing price to the high and low prices from two bars ago to determine the current trend.
Trend Counting:
The counter tracks how many consecutive bars the market has been in the current trend.
Visualization and Coloring:
The BarCount is plotted as a histogram, with colors indicating the trend direction.
Optionally, the price bars on the chart are colored to match the trend for easier visualization.
Practical Use Cases
Trend Strength Assessment:
Traders can gauge the strength of a trend by observing the magnitude of the BarCount. A higher absolute value indicates a stronger, more prolonged trend.
Trend Reversals:
A reset in the counter (switch from positive to negative or vice versa) can signal a potential trend reversal, providing entry or exit points.
Momentum Trading:
By visualizing the duration of trends, momentum traders can identify optimal times to join a prevailing trend or anticipate its exhaustion.
Customization Options
Enable/Disable Bar Coloring:
Users can toggle the paintBars option to switch between a clean price chart and one that highlights trends with color.
Aggregation Period Adjustment:
Adjusting the aggregationPeriod allows analysis over different timeframes without changing the chart's main settings, offering flexibility in strategy development.
Conclusion
This indicator serves as a powerful tool for trend analysis by:
Quantifying Trend Duration: Helps understand how long a trend has persisted.
Visual Trend Representation: Offers immediate visual cues through histogram bars and color-coded price bars.
Flexible Configuration: Provides options to customize the timeframe and visual aspects to suit individual trading styles.
By integrating this indicator into your trading strategy, you can enhance your ability to identify trend patterns, assess their strength, and make more informed trading decisions based on trend dynamics.
Buy vs Sell VolumeHow It Works:
BuyVol: Estimates buying volume by calculating the proportion of volume attributed to the upward price movement within each bar.
SellVol: Estimates selling volume by calculating the proportion of volume attributed to the downward price movement within each bar.
Customization:
length: You can adjust the length input parameter to change the period over which the average is calculated.
Visualization:
The buy trendline is plotted in Green and represents the average net buying vs. selling volume over the specified period.
The sell trendline is plotted in Red and represents the average net selling vs. buying volume over the specified period.
Note: This script provides an approximation and should be used in conjunction with other analysis tools to make informed trading decisions.
Customizable Psychological LevelsThe Customizable Psychological Levels indicator is designed to simplify the process of marking psychological levels on your chart without the need to manually add lines. Psychological levels are critical price zones where market participants often make decisions, such as round numbers or price levels that align with key technical analysis thresholds.
This indicator offers a fully automated way to plot these levels, with customizable options for intervals, colors, line thickness, and styles. Traders can focus more on their analysis and decision-making while relying on this tool to display consistent and accurate psychological levels across different timeframes.
Key Features:
Automated Level Drawing:
Major, intermediate, and minor levels are plotted automatically based on user-defined intervals.
No need to draw lines manually, saving time and ensuring precision.
Customizable Settings:
Choose intervals for each level type (major, intermediate, minor).
Select unique colors, line thickness, and styles (solid, dashed, or dotted) to distinguish levels visually.
Non-Overlapping Levels:
Includes an option to prevent overlapping levels, ensuring a clean and organized chart.
Dynamic or Fixed Levels:
Levels adjust dynamically to the chart’s price range, making them suitable for various instruments and timeframes.
Benefits:
Enhances productivity by automating the process of marking psychological levels.
Offers a highly customizable and visually appealing solution for traders who rely on psychological levels in their trading strategies.
Helps traders quickly identify critical price zones and make informed decisions.
This tool is perfect for both beginner and experienced traders who want to streamline their workflow while maintaining a professional and systematic approach to technical analysis.
Divides company with IndexOverview:
This indicator simplifies the comparison of a stock's performance against a specified index, such as the Nifty 50. By calculating and plotting the ratio between the two, it provides a clear visual representation of relative strength.
Key Features:
-Direct Comparison: Easily compare any stock against a selected index.
-Customizable Index: Choose from a dropdown menu or input a custom index symbol.
-Visual Clarity: Maximizing the chart provides a clear view of the relative performance.
-SMA Overlay: Add a Simple Moving Average (SMA) to identify trends and potential entry/exit
points.
-Customizable Appearance: Adjust background color, text color, and label size for personalized
visualization.
How to Use:
Add the Indicator: Add the indicator to your chart.
Select the Index: Choose the desired index from the dropdown menu or input a custom symbol.
Analyze the Ratio:
-A rising ratio indicates the stock is outperforming the index.
-A falling ratio suggests underperformance.
-The SMA can help identify potential trends and momentum.
Customize the Appearance: Adjust the background color, text color, and label size to suit your preferences.
Benefits:
-Improved Decision Making: Gain insights into a stock's relative strength.
-Faster Analysis: Quickly compare multiple stocks against a benchmark index.
-Enhanced Visualization: Customize the chart for better understanding.
-By leveraging this indicator, you can make informed trading decisions and gain a deeper
understanding of market dynamics.
Ichimoku Cloud +Ichimoku Cloud Plus - Advanced Technical Analysis Indicator
Ichimoku Cloud Plus is an advanced technical analysis tool that combines the traditional Ichimoku Cloud system with Pearson correlation analysis and multi-timeframe momentum tracking. This innovative approach provides traders with a comprehensive view of market trends, momentum, and potential reversal points across multiple time frames.
Core Components
Enhanced Ichimoku Cloud Analysis
The traditional Ichimoku Cloud components have been preserved and enhanced with customizable visual parameters:
The indicator includes:
- Conversion Line (Tenkan-sen) - Short-term trend identifier
- Base Line (Kijun-sen) - Medium-term trend identifier
- Leading Span A and B (Senkou Span A and B) - Future cloud projections
- Lagging Span (Chikou Span) - Historical price momentum confirmation
The cloud (Kumo) formations provide dynamic support and resistance levels, with color-coding to instantly identify bullish and bearish market conditions.
Pearson Correlation Analysis
A sophisticated Pearson correlation coefficient calculation has been integrated to provide statistical validation of trend strength and direction. This component:
- Calculates correlation between price movement and time
- Provides real-time correlation coefficients
- Identifies trend strength through correlation thresholds
- Generates signals for trend changes and potential reversals
Multi-Timeframe Momentum Tracking
The indicator incorporates a unique multi-timeframe analysis system that:
- Displays momentum calculations across five timeframes (15m, 30m, 1h, 4h, 1d)
- Provides percentage-based momentum values
- Includes volatility adjustment capabilities
- Offers volume-weighted calculations for enhanced accuracy
Advanced Features
Statistical Analysis Panel
A comprehensive statistical panel provides real-time analysis including:
- Current Pearson coefficient value
- Correlation strength classification
- Trend direction identification
- Analysis period information
Dynamic Alert System
The indicator includes sophisticated alert conditions for:
- Bearish trend initiation (positive correlation threshold breach)
- Bullish trend initiation (negative correlation threshold breach)
- Trend direction changes (zero-line crossovers)
Visual Optimization
Advanced visualization features include:
- Customizable color schemes for all components
- Adjustable label sizes and positions
- Transparency controls for better chart visibility
- Warning indicators for potential trend weakening
Technical Implementation
The indicator combines multiple calculation methods:
- Donchian Channel calculations for Ichimoku components
- Pearson correlation coefficient computation with customizable periods
- EMA smoothing for momentum calculations
- Volume-weighted averaging capabilities
- Volatility adjustment mechanisms
Trading Applications
This indicator is particularly effective for:
1. Trend Direction Confirmation
- Multiple timeframe analysis provides comprehensive trend validation
- Pearson correlation adds statistical confidence to trend identification
- Ichimoku cloud formations confirm support and resistance levels
2. Entry and Exit Point Identification
- Cloud breakouts combined with correlation strength indicate potential entry points
- Multi-timeframe momentum alignment helps identify high-probability trades
- Warning indicators assist in timing market exits
3. Risk Management
- Dynamic support and resistance levels from the cloud
- Statistical trend strength measurement
- Multi-timeframe confirmation reduces false signals
Performance Considerations
The indicator uses efficient calculations to maintain good performance while providing comprehensive analysis. The smoothing parameters and analysis periods can be adjusted to balance between responsiveness and reliability.
Future Applications and Research
This combination of indicators opens possibilities for:
- Machine learning integration for pattern recognition
- Additional statistical measures for trend validation
- Enhanced alert systems based on multiple condition combinations
- Further optimization of calculation methods
The innovative combination of traditional Ichimoku analysis with modern statistical methods and multi-timeframe momentum tracking provides traders with a powerful tool for market analysis and decision-making.
Multi-Timeframe Volume-Weighted RSIA multiple timeframe volume-weighted RSI.
Blue Line = Current Time Frame
Orange Line = Select your desired Time Frame
e.g. Blue = Daily, Orange = Weekly
1. Incorporates Market Commitment
Value: By factoring in volume, the volume-weighted RSI captures the intensity of trading activity behind price movements.
Why it’s useful:
Regular RSI measures price momentum but does not differentiate between moves with high or low trading activity.
A volume-weighted RSI assigns greater importance to price changes occurring on high volume, reflecting stronger market conviction.
2. Improved Signal Reliability
Value: Signals generated by a volume-weighted RSI (e.g., overbought or oversold conditions) may be more reliable because they account for the level of trader participation.
Why it’s useful:
Low-volume price movements often result in false signals or "noise."
A volume-weighted RSI helps filter out such noise, reducing the likelihood of false breakouts or fake reversals.
3. Better Divergence Detection
Value: Divergences between price action and the RSI (bullish or bearish divergences) are more meaningful when confirmed by volume.
Why it’s useful:
Regular RSI might show divergence in price momentum, but this divergence might lack substance if the underlying volume is weak.
A volume-weighted RSI ensures that divergence signals align with periods of significant market participation.
4. Enhanced Trend Analysis
Value: Trends supported by strong volume are given more weight, helping traders better identify and follow trends.
Why it’s useful:
Regular RSI might show overbought or oversold signals prematurely during strong trends.
Volume-weighted RSI considers whether trends are backed by significant market activity, helping avoid early exits.
5. More Meaningful Overbought/Oversold Levels
Value: Levels like 70 (overbought) and 30 (oversold) are more credible when supported by volume.
Why it’s useful:
In a regular RSI, overbought or oversold levels might occur on light trading, leading to false reversals.
A volume-weighted RSI ensures these levels are triggered by substantial market participation, increasing their reliability.
Practical Applications:
Trend Confirmation: Use the volume-weighted RSI to confirm whether momentum in a trend is supported by strong participation.
Divergence Spotting: Identify divergences with more confidence by prioritizing those with volume support.
Filtering False Breakouts: Avoid entering trades during weak volume phases by focusing on volume-weighted RSI signals.
Limitations:
Market Type Dependency: Its usefulness may diminish in low-volume assets or markets where volume data is unavailable (e.g., forex).
ICT Candle Block (fadi)ICT Candle Block
When trading using ICT concepts, it is often beneficial to treat consecutive candles of the same color as a single entity. This approach helps traders identify Order Blocks, liquidity voids, and other key trading signals more effectively.
However, in situations where the market becomes choppy or moves slowly, recognizing continuous price movement can be challenging.
The ICT Candle Block indicator addresses these challenges by combining consecutive candles of the same color into a single entity. It redraws the resulting candles, making price visualization much easier and helping traders quickly identify key trading signals.
FVGs and Blocks
In the above snapshot, FVGs/Liquidity Voids, Order Blocks, and Breaker Blocks are easily identified. By analyzing the combined candles, traders can quickly determine the draw on liquidity and potential price targets using ICT concepts.
Unlike traditional higher timeframes that rigidly combine lower timeframe candles based on specific start and stop times, this indicator operates as a "mixed timeframe." It combines all buying and all selling activities into a single candle, regardless of when the transactions started and ended.
Limitations
There are currently TradingView limitations that affect the functionality of this indicator:
TradingView does not have a Candle object; therefore, this indicator relies on using boxes and lines to mimic the candles. This results in wider candles than expected, leading to misalignment with the time axis below (plotcandle is not the answer).
There is a limit on the number of objects that can be drawn on a chart. A maximum of 500 candles has been set.
A rendering issue may cause a sideways box to appear across the chart. This is a display bug in TradingView; scroll to the left until it clears.
Trading the TrendTrading the Trend Indicator by Andrew Abraham (TASC, 1998)
The Trading the Trend indicator, developed by Andrew Abraham, combines volatility and trend-following principles to identify market direction. It uses a 21-period weighted average of the True Range (ATR) to measure volatility and define uptrends and downtrends.
Calculation: The True Range (highest high minus lowest low) is smoothed using a 21-period weighted moving average. This forms the basis for the trend filter, setting dynamic thresholds for trend identification.
Uptrend: Higher highs are confirmed when price stays above the upper threshold, signaling long opportunities.
Downtrend: Lower lows are identified when price stays below the lower threshold, favoring short positions.
This system emphasizes trading only in the direction of the prevailing trend, filtering out market noise and focusing on sustained price movements.
The trendline changes her color. When there is an uptrend the trendline is blue and when the trend is downward the trendline is yellow.
ADX Breakout Strategy█ OVERVIEW
The ADX Breakout strategy leverages the Average Directional Index (ADX) to identify and execute breakout trades within specified trading sessions. Designed for the NQ and ES 30-minute charts, this strategy aims to capture significant price movements while managing risk through predefined stop losses and trade limits.
This strategy was taken from a strategy that was posted on YouTube. I would link the video, but I believe is is "against house rules".
█ CONCEPTS
The strategy is built upon the following key concepts:
ADX Indicator: Utilizes the ADX to gauge the strength of a trend. Trades are initiated when the ADX value is below a certain threshold, indicating potential for trend development.
Trade Session Management: Limits trading to specific hours to align with optimal market activity periods.
Risk Management: Implements a fixed dollar stop loss and restricts the number of trades per session to control exposure.
█ FEATURES
Customizable Stop Loss: Set your preferred stop loss amount to manage risk effectively.
Trade Session Configuration: Define the trading hours to focus on the most active market periods.
Entry Conditions: Enter long positions when the price breaks above the highest close in the lookback window and the ADX indicates potential trend strength.
Trade Limits: Restrict the number of trades per session to maintain disciplined trading.
Automated Exit: Automatically closes all positions at the end of the trading session to avoid overnight risk.
█ HOW TO USE
Configure Inputs :
Stop Loss ($): Set the maximum loss per trade.
Trade Session: Define the active trading hours.
Highest Lookback Window: Specify the number of bars to consider for the highest close.
Apply the Strategy :
Add the ADX Breakout strategy to your chart on TradingView.
Ensure you are using a 30-minute timeframe for optimal performance.
█ LIMITATIONS
Market Conditions: The strategy is optimized for trending markets and may underperform in sideways or highly volatile conditions.
Timeframe Specific: Designed specifically for 30-minute charts; performance may vary on different timeframes.
Single Asset Focus: Primarily tested on NQ and ES instruments; effectiveness on other symbols is not guaranteed.
█ DISCLAIMER
This ADX Breakout strategy is provided for educational and informational purposes only. It is not financial advice and should not be construed as such. Trading involves significant risk, and you may incur substantial losses. Always perform your own analysis and consider your financial situation before using this or any other trading strategy. The source material for this strategy is publicly available in the comments at the beginning of the code script. This strategy has been published openly for anyone to review and verify its methodology and performance.
FRAMA Channel [BigBeluga]This is a trend-following indicator that utilizes the Fractal Adaptive Moving Average (FRAMA) to create a dynamic channel around the price. The FRAMA Channel helps identify uptrends, downtrends, and ranging markets by examining the relationship between the price and the channel's boundaries. It also marks trend changes with arrows, optionally displaying either price values or average volume at these key points.
🔵 IDEA
The core idea behind the FRAMA Channel indicator is to use the fractal nature of markets to adapt to different market conditions. By creating a channel around the FRAMA line, it not only tracks price trends but also adapts its sensitivity based on market volatility. When the price crosses the upper or lower bands of the channel, it signals a potential shift in trend direction. If the price remains within the channel and crosses over the upper or lower bands without a breakout, the market is likely in a ranging phase with low momentum. This adaptive approach makes the FRAMA Channel effective in both trending and ranging market environments.
🔵 KEY FEATURES & USAGE
◉ Dynamic FRAMA Channel with Trend Signals:
The FRAMA Channel uses a fractal-based moving average to create an adaptive channel around the price. When the price crosses above the upper band, it signals an uptrend and plots an upward arrow with the price (or average volume) value. Conversely, when the price crosses below the lower band, it signals a downtrend and marks the point with a downward arrow. This dynamic adaptation to market conditions helps traders identify key trend shifts effectively.
◉ Ranging Market Detection:
If the price remains within the channel, and only the high crosses the upper band or the low crosses the lower band, the indicator identifies a ranging market with low momentum. In this case, the channel turns gray, signaling a neutral trend. This is particularly useful for avoiding false signals during periods of market consolidation.
◉ Color-Coded Candles and Channel Bands:
Candles and channel bands are color-coded to reflect the current trend direction. Green indicates an upward trend, blue shows a downward trend, and gray signals a neutral or ranging market. This visual representation makes it easy to identify the market condition at a glance, helping traders make informed decisions quickly.
◉ Customizable Display of Price or Average Volume:
On trend change signals, the indicator allows users to choose whether to display the price at the point of trend change or the average volume of 10 bars. This flexibility enables traders to focus on the information that is most relevant to their strategy, whether it's the exact price entery or the volume context of the market shift. Displaying the average volume allows to see the strength of the trend change.
Price Data:
Average Volume of points:
🔵 CUSTOMIZATION
Length & Bands Distance: Adjust the length for the FRAMA calculation to control the sensitivity of the channel. A shorter length makes the channel more reactive to price changes, while a longer length smooths it out. The Bands Distance setting determines how far the bands are from the FRAMA line, helping to define the breakout and ranging conditions.
Signals Data: Choose between displaying the price or the average volume on trend change arrows. This allows traders to focus on either the exact price level of trend change or the market volume context.
Color Settings: Customize the colors for upward momentum, downward momentum, and neutral states to suit your charting preferences. You can also toggle whether to color the candles based on the momentum for a clearer visual of the trend direction.
The FRAMA Channel indicator adapts to market conditions, providing a versatile tool for identifying trends and ranging markets with clear visual cues.
Optimized Grid with KNN_2.0Strategy Overview
This strategy, named "Optimized Grid with KNN_2.0," is designed to optimize trading decisions using a combination of grid trading, K-Nearest Neighbors (KNN) algorithm, and a greedy algorithm. The strategy aims to maximize profits by dynamically adjusting entry and exit thresholds based on market conditions and historical data.
Key Components
Grid Trading:
The strategy uses a grid-based approach to place buy and sell orders at predefined price levels. This helps in capturing profits from market fluctuations.
K-Nearest Neighbors (KNN) Algorithm:
The KNN algorithm is used to optimize entry and exit points based on historical price data. It identifies the nearest neighbors (similar price movements) and adjusts the thresholds accordingly.
Greedy Algorithm:
The greedy algorithm is employed to dynamically adjust the stop-loss and take-profit levels. It ensures that the strategy captures maximum profits by adjusting thresholds based on recent price changes.
Detailed Explanation
Grid Trading:
The strategy defines a grid of price levels where buy and sell orders are placed. The openTh and closeTh parameters determine the thresholds for opening and closing positions.
The t3_fast and t3_slow indicators are used to generate trading signals based on the crossover and crossunder of these indicators.
KNN Algorithm:
The KNN algorithm is used to find the nearest neighbors (similar price movements) in the historical data. It calculates the distance between the current price and historical prices to identify the most similar price movements.
The algorithm then adjusts the entry and exit thresholds based on the average change in price of the nearest neighbors.
Greedy Algorithm:
The greedy algorithm dynamically adjusts the stop-loss and take-profit levels based on recent price changes. It ensures that the strategy captures maximum profits by adjusting thresholds in real-time.
The algorithm uses the average_change variable to calculate the average price change of the nearest neighbors and adjusts the thresholds accordingly.
Correlation Confluence Trend IndicatorCorrelation Confluence Trend Indicator
Overview
The Correlation Confluence Trend Indicator combines exponential moving averages (EMAs) and statistical correlation measures to identify high-confidence trend alignments between an asset and a benchmark. By filtering signals through correlation strength, this indicator highlights opportunities when the asset and benchmark move together. In other words, it defines a trend and then uses correlation strength and the trend of a second asset to identify high-confidence trends.
Key Features
Dual EMA Trend Analysis :
Calculates fast and slow EMAs for both the asset and the selected benchmark (e.g., SPY) to identify bullish and bearish trends.
Correlation Strength Filtering :
Evaluates correlation between the asset and benchmark, identifying stronger-than-average relationships based on the mean and standard deviation.
Background Color Coding :
- Green : Strong correlation, both asset and benchmark bullish.
- Aqua : Weak correlation, both asset and benchmark bullish.
- Red : Strong correlation, both asset and benchmark bearish.
- Fuchsia : Weak correlation, both asset and benchmark bearish.
- Orange : Strong correlation, benchmark bullish, asset bearish.
- Yellow : Weak correlation, benchmark bullish, asset bearish.
- Purple : Strong correlation, benchmark bearish, asset bullish.
- Lime : Weak correlation, benchmark bearish, asset bullish.
Visual Trend Indicators :
Plots fast and slow EMAs for the asset, dynamically colored based on aggregate trend signals. The color of this corresponds to the main trend signal.
Inputs
Benchmark Symbol : Symbol of the benchmark asset to compare against.
Fast EMA Length : Period for the fast EMA calculation.
Slow EMA Length : Period for the slow EMA calculation.
Correlation Length : Number of bars for correlation calculation.
Correlation Mean Length : Number of bars for mean and standard deviation calculation.
Std Dev Multiplier : Multiplier for standard deviation to define correlation strength. When the correlation is Std Dev Multiplier standard deviations above the mean, it counts as a strong correlation.
Set Background Color : Toggle background coloring on or off.
Notes
This indicator is primarily designed for trend-following strategies. By combining trend analysis and correlation filtering, it ensures that signals occur during aligned market conditions, reducing false signals.
Before incorporating this indicator into your trading strategy:
Always backtest on historical data to evaluate its performance before committing capital.
Use proper risk management to control position sizes and mitigate potential losses.
Remember that no indicator guarantees success. I'm quite proud of this one, but it's not the holy grail.
TASC 2024.12 Dynamic ADX Histogram█ OVERVIEW
This script introduces a new version of the ADX oscillator, designed by Neil Jon Harrington and featured in the "Revisualizing The ADX Oscillator" article from the December 2024 edition of TASC's Traders' Tips .
█ CONCEPTS
The directional movement index (DMI+ and DMI−) and average directional index (ADX) indicators have long been popular with technical analysts. Developed by J. Welles Wilder in the 1970s, these indicators provide information about the direction and strength of price movements across bars. The DMI+ measures positive price movement, the DMI- measures negative price movement, and the ADX gauges the average strength of price trends. Although these indicators can provide helpful insights into price action and momentum, Neil Jon Harrington argues they are often misunderstood or misapplied.
Harrington's indicator, the Dynamic ADX Histogram (DADX), applies directional information to the ADX based on DMI+ and DMI- values to create a single oscillator centered around 0. The indicator displays the oscillator as a histogram with dynamic colors based on ADX movements and user-defined strength thresholds. The author believes this modification of the ADX and DMI data offers a more intuitive visualization of the information provided by Wilder's calculations.
An additional feature of the DADX is the option to use average (smooth) DMI+ and DMI- values in the oscillator's calculation, which reduces noise and choppiness at the cost of added lag.
█ USAGE
The "ADX Length" input determines the number of bars in the DMI and ADX calculation. The "DMI Smoothing Length" input controls the number of bars in the DMI smoothing calculation. Use a value of 1 for non-smoothed DMI data.
The sign of the DADX indicates the direction of price movements based on the difference between the smoothed DMI+ and DMI- values. The absolute value of the oscillator corresponds to the ADX, representing the trend strength.
The "Low Threshold" and "High Threshold" inputs define the ADX thresholds for categorizing trending, non-trending, and exhaustion states. The low threshold specifies the minimum absolute oscillator value required to indicate a trend, and the high threshold marks the absolute value where trend strength is excessive, possibly suggesting an upcoming consolidation or reversal. The indicator colors the histogram based on these thresholds and changes in the ADX, with brighter colors denoting a strengthening trend and darker colors signaling a weakening trend.
Weighted Average Strength Index (WASI)Weighted Average Strength Index (WASI)
The Weighted Average Strength Index (WASI) is a variation of the standard RSI. It uses the Weighted Moving Average (WMA) instead of the Running Moving Average (RMA), making it more responsive to recent price changes. The hypothesis is that this weighted calculation might better capture momentum shifts, providing traders with more timely insights.
How to Use:
Backtest WASI on your preferred assets and timeframes to evaluate its effectiveness for your strategy.
Use for trend following or mean reversion :
- Overbought/Oversold (OB/OS) levels can signal potential mean-reversion opportunities.
- Midline (50 level) crossovers can be used for trend-following strategies.
- WASI and its moving average (MA) crossovers offer additional trend-following or reversal signals.
Parameters and Their Functions:
WASI Length: Determines the number of periods for WASI calculation. A longer length smooths the indicator but increases lag, while a shorter length makes it more sensitive. (When in doubt, go longer).
Source: The price source for the calculation (e.g., close, open, high, or low).
MA Type: Specifies the type of moving average applied to the WASI (options include SMA, EMA, WMA, HMA, and others).
MA Length: The number of periods for the moving average used on the WASI. Higher will lead to a smoother moving average.
Indicator Features:
Dynamic OB/OS Levels: Default overbought (70) and oversold (30) levels help identify potential reversal zones.
Midline Crossover: WASI crossing above or below the 50 level may indicate a trend shift.
WASI-MA Crossover: Crossovers between WASI and its moving average can signal trend-following or mean-reversion opportunities.
Disclaimer:
This indicator is a tool for analysis and should be used in conjunction with other forms of analysis or confirmation. Past performance does not guarantee future results.
Multi-Timeframe ATRsThis Multi-Timeframe ATR Indicator displays the Average True Range (ATR) values from multiple timeframes on a single chart, allowing traders to assess market volatility across different time periods. The indicator calculates and plots the ATR for the 1-hour, 3-hour, 4-hour, 1-day, and 2-day timeframes, with the option to toggle each timeframe on or off based on user preferences. By visualizing these ATR values, traders can identify potential price movement expectations for various timeframes and better understand how volatility is shifting across the market. This tool is handy for traders who want to gauge volatility over different time periods and incorporate it into their trading strategies.
By evaluating higher timeframes when entering trades, a trader can better understand market conditions. This insight helps the trader make informed decisions about whether to remain in the trade for a longer period.
The indicator is fully customizable, with color-coded plots for each timeframe and optional labels that display the ATR values directly on the chart. It is ideal for traders looking to add volatility insights to their technical analysis without cluttering their charts.
TechniTrend: Volatility and MACD Trend Highlighter🟦 Overview
The "Candle Volatility with Trend Prediction" indicator is a powerful tool designed to identify market volatility based on candle movement relative to average volume while also incorporating trend predictions using the MACD. This indicator is ideal for traders who want to detect volatile market conditions and anticipate potential price movements, leveraging both price changes and volume dynamics.
It not only highlights candles with significant price movements but also integrates a trend analysis based on the MACD (Moving Average Convergence Divergence), allowing traders to gauge whether the market momentum aligns with or diverges from the detected volatility.
🟦 Key Features
🔸Volatility Detection: Identifies candles that exceed normal price fluctuations based on average volume and recent price volatility.
🔸Trend Prediction: Uses the MACD indicator to overlay trend analysis, signaling potential market direction shifts.
🔸Volume-Based Analysis: Integrates customizable moving averages (SMA, EMA, WMA, etc.) of volume, providing a clear visualization of volume trends.
🔸Alert System: Automatically notifies traders of high-volatility situations, aiding in timely decision-making.
🔸Customizability: Includes multiple settings to tailor the indicator to different market conditions and timeframes.
🟦 How It Works
The indicator operates by evaluating the price volatility in relation to average volume and identifying when a candle's volatility surpasses a threshold defined by the user. The key calculations include:
🔸Average Volume Calculation: The user selects the type of moving average (SMA, EMA, etc.) to calculate the average volume over a set period.
🔸Volatility Measurement: The indicator measures the body change (difference between open and close) and the high-low range of each candle. It then calculates recent price volatility using a standard deviation over a user-defined length.
🔸Weighted Index: A unique index is created by dividing price change by average volume and recent volatility.
🔸Highlighting Volatility: If the weighted index exceeds a customizable threshold, the candle is highlighted, indicating potential trading opportunities.
🔸Trend Analysis with MACD: The MACD line and signal line are plotted and adjusted with a user-defined multiplier to visualize trends alongside the volatility signals.
🟦 Recommended Settings
🔸Volume MA Length: A default of 14 periods for the average volume calculation is recommended. Adjust to higher periods for long-term trends and shorter periods for quick trades.
🔸Volatility Threshold Multiplier: Set at 1.2 by default to capture moderately significant movements. Increase for fewer but stronger signals or decrease for more frequent signals.
🔸MACD Settings: Default MACD parameters (12, 26, 9) are suggested. Tweak based on your trading strategy and asset volatility.
🔸MACD Multiplier: Adjust based on how the MACD should visually compare to the average volume. A multiplier of 1 works well for most cases.
🟦 How to Use
🔸Volatile Market Detection:
Look for highlighted candles that suggest a deviation from typical price behavior. These candles often signify an entry point for short-term trades.
🔸Trend Confirmation:
Use the MACD trend analysis to verify if the highlighted volatile candles align with a bullish or bearish trend.
For example, a bullish MACD crossover combined with a highlighted candle suggests a potential uptrend, while a bearish crossover with volatility signals may indicate a downtrend.
🔸Volume-Driven Strategy:
Observe how volume changes impact candle volatility. When volume rises significantly and candles are highlighted, it can suggest strong market moves influenced by big players.
🟦 Best Use Cases
🔸Trend Reversals: Detect potential trend reversals early by spotting divergences between price and MACD within volatile conditions.
🔸Breakout Strategies: Use the indicator to confirm price breakouts with significant volume changes.
🔸Scalping or Day Trading: Customize the indicator for shorter timeframes to capture rapid market movements based on volatility spikes.
🔸Swing Trading: Combine volatility and trend insights to optimize entry and exit points over longer periods.
🟦 Customization Options
🔸Volume-Based Inputs: Choose from SMA, EMA, WMA, and more to define how average volume is calculated.
🔸Threshold Adjustments: Modify the volatility threshold multiplier to increase or decrease sensitivity based on your trading style.
🔸MACD Tuning: Adjust MACD settings and the multiplier for trend visualization tailored to different asset classes and market conditions.
🟦 Indicator Alerts
🔸High Volatility Alerts: Automatically triggered when candles exceed user-defined volatility levels.
🔸Bullish/Bearish Trend Alerts: Alerts are activated when highlighted volatile candles align with bullish or bearish MACD crossovers, making it easier to spot opportunities without constantly monitoring the chart.
🟦 Examples of Use
To better understand how this indicator works, consider the following scenarios:
🔸Example 1: In a strong uptrend, observe how volume surges and volatility highlight candles right before price consolidations, indicating optimal exit points.
🔸Example 2: During a downtrend, see how the MACD aligns with volume-driven volatility, signaling potential short-selling opportunities.
