Полосы и каналы
Nasan Hull-smoothed envelope The Nasan Hull-Smoothed Envelope indicator is a sophisticated overlay designed to track price movement within an adaptive "envelope." It dynamically adjusts to market volatility and trend strength, using a series of smoothing and volatility-correction techniques. Here's a detailed breakdown of its components, from the input settings to the calculated visual elements:
Inputs
look_back_length (500):
Defines the lookback period for calculating intraday volatility (IDV), smoothing it over time. A higher value means the indicator considers a longer historical range for volatility calculations.
sl (50):
Sets the smoothing length for the Hull Moving Average (HMA). The HMA smooths various lines, creating a balance between sensitivity and stability in trend signals.
mp (1.5):
Multiplier for IDV, scaling the volatility impact on the envelope. A higher multiplier widens the envelope to accommodate higher volatility, while a lower one tightens it.
p (0.625):
Weight factor that determines the balance between extremes (highest high and lowest low) and averages (sma of high and sma of low) in the high/low calculations. A higher p gives more weight to extremes, making the envelope more responsive to abrupt market changes.
Volatility Calculation (IDV)
The Intraday Volatility (IDV) metric represents the average volatility per bar as an exponentially smoothed ratio of the high-low range to the close price. This is calculated over the look_back_length period, providing a base volatility value which is then scaled by mp. The IDV enables the envelope to dynamically widen or narrow with market volatility, making it sensitive to current market conditions.
Composite High and Low Bands
The high and low bands define the upper and lower bounds of the envelope.
High Calculation
a_high:
Uses a multi-period approach to capture the highest highs over several intervals (5, 8, 13, 21, and 34 bars). Averaging these highs provides a more stable reference for the high end of the envelope, capturing both immediate and recent peak values.
b_high:
Computes the average of shorter simple moving averages (5, 8, and 13 bars) of the high prices, smoothing out fluctuations in the recent highs. This generates a balanced view of high price trends.
high_c:
Combines a_high and b_high using the weight p. This blend creates a composite high that balances between recent peaks and smoothed averages, making the upper envelope boundary adaptive to short-term price shifts.
Low Calculation
a_low and b_low:
Similar to the high calculation, these capture extreme lows and smooth low values over the same intervals. This approach creates a stable and adaptive lower bound for the envelope.
low_c:
Combines a_low and b_low using the weight p, resulting in a composite low that adjusts to price fluctuations while maintaining a stable trend line.
Volatility-Adjusted Bands
The final composite high (c_high) and composite low (c_low) bands are adjusted using IDV, which accounts for intraday volatility. When volatility is high, the bands expand; when it’s low, they contract, providing a visual representation of volatility-adjusted price bounds.
Basis Line
The basis line is a Hull Moving Average (HMA) of the average of c_high and c_low. The HMA is known for its smoothness and responsiveness, making the basis line a central trend indicator. The color of the basis line changes:
Green when the basis line is increasing.
Red when the basis line is decreasing.
This color-coded basis line serves as a quick visual reference for trend direction.
Short-Term Trend Strength Block
This component analyzes recent price action to assess short-term bullish and bearish momentum.
Conditions (green, red, green1, red1):
These are binary conditions that categorize price movements as bullish or bearish based on the close compared to the open and the close’s relationship with the exponential moving average (EMA). This separation helps capture different types of strength (above/below EMA) and different bullish or bearish patterns.
Composite Trend Strength Values:
Each of the bullish and bearish counts (above and below the EMA) is normalized, resulting in the following values:
green_EMAup_a and red_EMAup_a for bullish and bearish strength above the EMA.
green_EMAdown_a and red_EMAdown_a for bullish and bearish strength below the EMA.
Trend Strength (t_s):
This calculated metric combines the normalized trend strengths with extra weight to conditions above the EMA, giving more relevance to trends that have momentum behind them.
Enhanced Trend Strength
avg_movement:
Calculates the average absolute price movement over the short_term_length, providing a measurement of recent price activity that scales with volatility.
enhanced_t_s:
Multiplies t_s by avg_movement, creating an enhanced trend strength value that reflects both directional strength and the magnitude of recent price movement.
min and max:
Minimum and maximum percentile thresholds, respectively, based on enhanced_t_s for controlling the color gradient in the fill area.
Fill Area
The fill area between plot_c_high and plot_c_low is color-coded based on the enhanced trend strength (enhanced_t_s):
Gradient color transitions from blue to green based on the strength level, with blue representing weaker trends and green indicating stronger trends.
This visual fill provides an at-a-glance assessment of trend strength across the envelope, with color shifts highlighting momentum shifts.
Summary
The indicator’s purpose is to offer an adaptive price envelope that reflects real-time market volatility and trend strength. Here’s what each component contributes:
Basis Line: A trend-following line in the center that adjusts color based on trend direction.
Envelope (c_high, c_low): Adapts to volatility by expanding and contracting based on IDV, giving traders a responsive view of expected price bounds.
Fill Area: A color-gradient region representing trend strength within the envelope, helping traders easily identify momentum changes.
Overall, this tool helps to identify trend direction, market volatility, and strength of price movements, allowing for more informed decisions based on visual cues around price boundaries and trend momentum.
MACD+RSI+BBDESCRIPTION
The MACD + RSI + Bollinger Bands Indicator is a comprehensive technical analysis tool designed for traders and investors to identify potential market trends and reversals. This script combines three indicators: the Moving Average Convergence Divergence (MACD), the Relative Strength Index (RSI), and Bollinger Bands. Each of these indicators provides unique insights into market behavior.
FEATURES
MACD (Moving Average Convergence Divergence)
The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price.
The script calculates the MACD line, the signal line, and the histogram, which visually represents the difference between the MACD line and the signal line.
RSI (Relative Strength Index)
The RSI is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is typically used to identify overbought or oversold conditions.
The script allows users to set custom upper and lower thresholds for the RSI, with default values of 70 and 30, respectively.
Bollinger Bands
Bollinger Bands consist of a middle band (EMA) and two outer bands (standard deviations away from the EMA). They help traders identify volatility and potential price reversals.
The script allows users to customize the length of the Bollinger Bands and the multiplier for the standard deviation.
Color-Coding Logic
The histogram color changes based on the following conditions:
Black: If the RSI is above the upper threshold and the closing price is above the upper Bollinger Band, or if the RSI is below the lower threshold and the closing price is below the lower Bollinger Band.
Green (#4caf50): If the RSI is above the upper threshold but the closing price is not above the upper Bollinger Band.
Light Green (#a5d6a7): If the histogram is positive and the RSI is not above the upper threshold.
Red (#f23645): If the RSI is below the lower threshold but the closing price is not below the lower Bollinger Band.
Light Red (#faa1a4): If the histogram is negative and the RSI is not below the lower threshold.
Inputs
Bollinger Bands Settings
Length: The number of periods for the moving average.
Basis MA Type: The type of moving average (SMA, EMA, SMMA, WMA, VWMA).
Source: The price source for the Bollinger Bands calculation.
StdDev: The multiplier for the standard deviation.
RSI Settings
RSI Length: The number of periods for the RSI calculation.
RSI Upper: The upper threshold for the RSI.
RSI Lower: The lower threshold for the RSI.
Source: The price source for the RSI calculation.
MACD Settings
Fast Length: The length for the fast moving average.
Slow Length: The length for the slow moving average.
Signal Smoothing: The length for the signal line smoothing.
Oscillator MA Type: The type of moving average for the MACD calculation.
Signal Line MA Type: The type of moving average for the signal line.
Usage
This indicator is suitable for various trading strategies, including day trading, swing trading, and long-term investing.
Traders can use the MACD histogram to identify potential buy and sell signals, while the RSI can help confirm overbought or oversold conditions.
The Bollinger Bands provide context for price volatility and potential breakout or reversal points.
Example:
From the example, it can clearly see that the Selling Climax and Buying Climax, marked as orange circle when a black histogram occurs.
Conclusion
The MACD + RSI + Bollinger Bands Indicator is a versatile tool that combines multiple technical analysis methods to provide traders with a comprehensive view of market conditions. By utilizing this script, traders can enhance their analysis and improve their decision-making process.
Period MarkerThis Period Marker Indicator for TradingView is a visual tool that allows you to highlight a specific date range on your chart. It uses a shaded background color to mark the defined period, making it easy to visually separate and focus on specific time intervals. This is especially useful for analyzing historical events, comparing specific timeframes, or marking earnings seasons or other critical periods in price action.
Key Features
Easy Date Range Selection:
The indicator has a calendar-style date input for both the start and end dates. This allows for quick and precise selection of date ranges without manually entering each date component (year, month, day).
Customizable Period Highlight:
When active, the indicator shades the background of the chart over the specified period. The default highlight color is a semi-transparent green, but this can be customized within the script to any color and opacity you prefer.
The shaded background helps you easily identify and focus on the defined date range.
Dynamic Adjustment:
You can adjust the start and end dates in real-time, and the background shading will automatically update to reflect the new period, allowing flexibility in testing and viewing multiple periods quickly.
Practical Uses
Event Marking: Track significant historical events (e.g., economic data releases, geopolitical events) to see their effects on price action.
Seasonal Analysis: Highlight and compare seasonal trends, such as quarterly earnings or year-end rallies, across multiple years.
Backtesting Specific Periods: When analyzing strategies, you can visually isolate specific date ranges to review performance or behavior in defined intervals.
The Period Marker Indicator is a simple yet effective way to enhance time-based analysis on TradingView, helping you gain insights by focusing on relevant periods with ease.
Nami Bands with Future Projection [FXSMARTLAB]The Nami Bands ( Inspired by "Nami", meaning "wave" in Japanese) are two dynamic bands around price data: an upper band and a lower band. These bands are calculated based on an Asymmetric Linear Weighted Moving Average of price and a similarly asymmetric weighted standard deviation. This weighting method emphasizes recent data without overreacting to short-term price changes, thus smoothing the bands in line with prevailing market conditions.
Advantages and Benefits of Using the Indicator
* Volatility Analysis: The bands expand and contract with market volatility, helping traders assess periods of high and low volatility. Narrow bands indicate low volatility and potential consolidation, while wide bands suggest increased volatility and potential price movement.
* Dynamic Support and Resistance Levels: By adapting to recent trends, the bands serve as dynamic support (lower band) and resistance (upper band) levels, which traders can use for entry and exit signals.
* Overbought and Oversold Conditions: When prices reach or cross the bands’ outer limits, it may signal overbought (upper band) or oversold (lower band) conditions, suggesting possible reversals or trend slowdowns.
* Trend Confirmation and Continuation: The slope of the central moving average confirms trend direction. An upward slope generally indicates a bullish trend, while a downward slope suggests a bearish trend.
* Anticipating Breakouts and Reversals: The projected bands help identify where price movements may head, allowing traders to anticipate potential breakouts or reversals based on projected support and resistance.
Indicator Parameters
Source (src): The price data used for calculations, by default set to the average of high, low, and close (hlc3).
Length: The period over which calculations are made, defaulted to 50 periods.
Projection Length: The length for future band projection, defaulted to 20 periods.
StdDev Multiplier (mult): A multiplier for the standard deviation, defaulted to 2.0.
Internal Calculations
1. Asymmetric Linear Weighted Moving Average of Price
The indicator uses an Asymmetric Linear Weighted Moving Average (ALWMA) to calculate a central value for the price.
Asymmetric Weighting: This weighting technique assigns the highest weight to the most recent value, with weights decreasing linearly as the data points become older. This structure provides a nuanced focus on recent price trends, while still reflecting historical price levels.
2. Asymmetric Weighted Standard Deviation
The standard deviation in this indicator is also calculated using asymmetric weighting:
Purpose of Asymmetric Weighted Standard Deviation: Rather than aiming for high sensitivity to recent data, this standard deviation measure smooths out volatility by integrating weighted values across the length period, stabilizing the overall measurement of price variability.
This approach yields a balanced view of volatility, capturing broader market trends without being overly reactive to short-lived changes.
3. Upper and Lower Bands
The upper and lower bands are created by adding and subtracting the asymmetric weighted standard deviation from the asymmetric weighted average of price. This creates a dynamic envelope that adjusts to both recent price trends and the smoothed volatility measure:
These bands represent adaptable support and resistance levels that shift with recent market volatility.
Future Band Projection
The indicator provides a projection of the bands based on their current slope.
1. Calculating the Slope of the Bands
The slope for each band is derived from the difference between the current and previous values of each band.
2. Projecting the Bands into the Future
For each period into the future, up to the defined Projection Length, the bands are projected using the current slope.
This feature offers an anticipated view of where support and resistance levels may move, providing insight for future market behavior based on current trends.
Market Structure Algo V2 [OmegaTools]The Market Structure Algo V2 (MS Algo V2) is an advanced TradingView indicator developed by OmegaTools to provide traders with a comprehensive analysis of market structure. This tool refines the insights provided by its predecessor, combining enhanced pivot point analysis, dynamic market structure scoring, and zone visualization to deliver an intuitive view of potential market movements. Through custom settings, the MS Algo V2 allows users to tailor the indicator to fit their trading strategies more closely, offering enhanced adaptability to both short-term and long-term trends.
Core Functionality
The MS Algo V2 differentiates between internal and external market structures by analyzing pivot highs and lows over user-defined periods. The internal market structure focuses on shorter timeframes, providing insights into recent price action, while the external structure considers broader trends. This dual-layered approach helps traders distinguish between immediate and overarching market trends.
The indicator introduces improved visualization for areas of interest or zones around pivot points, adjustable through zone distance settings. These zones serve as potential support and resistance areas, helping traders anticipate price reactions at key levels. In addition to the zones, the indicator now provides gradient-based color coding on bars, reflecting the market structure’s bullish or bearish intensity. This visual enhancement aids in quickly interpreting the current trend's strength.
Dynamic signal generation has been refined in MS Algo V2. The indicator now offers both classic signals and breakout signals based on the market structure, including entries, exits, and change-of-character (CHoCH) alerts. Signals are generated based on price interactions with pivot levels, indicating potential long and short opportunities.
Operational Mechanism
The MS Algo V2 calculates pivot highs and lows over specified periods to define internal and external market structures. A market structure score is derived from these pivot points, classifying the market into bullish or bearish extremes. Signals are generated as the closing price interacts with these levels, marking entry and exit points based on the calculated structure.
A new feature in this version is zone visualization, where zones are plotted around a dynamic moving average derived from the exponential and simple moving averages (EMA and SMA). The zones are adjusted based on ATR (Average True Range) and the specified zone distance percentile, providing a clear visual representation of potential support and resistance regions. The external and internal zones are represented with different levels of transparency for quick reference.
Usage Guidelines
To apply the MS Algo V2 to your TradingView charts, adjust the internal and external market structure settings to match your preferred analysis timeframes. The line style and width of each structure can also be customized for a tailored view. The Zone Distance setting allows users to define the percentile range of the zones around the moving average, providing further flexibility in identifying potential areas of support and resistance.
For a color-coded overview of market sentiment, the bar gradient feature can be enabled. This option uses a gradient that reflects the bullish or bearish intensity of the market structure, giving traders a visual cue on the market’s overall trend. Color-coded signals and zone fill areas further assist in interpreting the current market structure and identifying potential trade areas.
The indicator includes customizable alerts for long and short signals, as well as specific breakout alerts (BOS) and change-of-character (CHoCH) signals. These alerts can help traders stay informed about significant market structure changes, supporting timely trading decisions.
Understanding the Indicator’s Originality
The MS Algo V2 stands out due to its robust integration of pivot analysis, zone visualization, and market structure scoring, offering a unique perspective on market dynamics. With features like color-coded signals, bar gradients, and configurable alerts, MS Algo V2 provides an edge in understanding both the current market environment and potential turning points. This indicator’s ability to represent the market’s structure visually makes it a powerful addition to any trader’s toolkit, especially for those seeking a deeper, multi-layered approach to market analysis.
Vexly_ML_levelsProvide a number into each box (start), (middle), (end)
this is for a buy zone, mid zone, sell zone.
This is mainly geared towards futures and is just a box drawing script.
There is no inherent alpha in this.
We use this to draw our own levels.
Original Keltner with Support And ResistanceThis indicator is based on the original Keltner Channels using typical price and calculating the 10 period average of high - low
Typical price = (high + low + close)/3
In this case, I've taken Typical price as (open + high + low + close)/4 on the advice of John Bollinger from his book Bollinger on Bollinger Bands.
Buy Line = 10 Period Typical Price Average + 10 Period Average of (High - Low)
Sell Line = 10 Period Typical Price Average - 10 Period Average of (High - Low)
This is the basis for the indicator. I've added the highest of the Buy Line and lowest of the Sell Line for the same period which acts as Support and Resistance.
If price is trending below the Lowest of Sell Line, take only sell trades and the Lowest Line acts as resistance.
If price is trending above the Highest of Buy Line, take only buy trades and the Highest Line acts as support.
MMAPMarket Maker Aggression & Panic
Here's how it works:
Bollinger Bands: The script calculates and plots the Bollinger Bands, which helps you identify potential aggressive buying or panic selling when the price breaks above or below the bands.
Volume Analysis: It checks for volume spikes compared to the average volume over a specified period. If the volume exceeds a defined threshold, the background color changes to orange, indicating a potential market maker reaction.
Alerts: Alerts are set for volume spikes, aggressive buying (when the price breaks above the upper Bollinger Band), and panic selling (when it drops below the lower Bollinger Band).
Feel free to customize the parameters to fit your trading style!
Future Trend Channel [ChartPrime]The Future Trend Channel indicator is a dynamic tool for identifying trends and projecting future prices based on channel formations. The indicator uses SMA (Simple Moving Average) and volatility calculations to plot channels that visually represent trends. It also detects moments of lower momentum, indicated by neutral color changes in the channels, and projects future price levels for up to 50 bars ahead.
⯁ KEY FEATURES AND HOW TO USE
⯌ Dynamic Trend Channels :
The indicator draws channels when a trend is identified. It uses a combination of SMA and volatility to determine the direction and strength of the trend. Each channel is visualized with a specific color, where green indicates an uptrend and orange represents a downtrend.
Example of channels during uptrend and downtrend:
⯌ Momentum-Based Color Shifts :
The indicator adapts its channel colors based on momentum changes. When the starting point (Y1) of a channel is higher than its ending point (Y2) during an uptrend, the channel turns neutral, indicating lower momentum and a possible ranging market. The same applies in a downtrend, where the channel turns neutral if Y1 is lower than Y2.
Example of neutral momentum channels:
⯌ Future Price Projection :
At the end of each channel, the indicator generates a projected future price based on the midpoint of the channel. By default, this projection is made 50 bars into the future, but users can adjust the number of bars to their preference.
Example of future price projection:
⯌ Diamond Signals for Valid Trends :
Lime-colored diamonds appear when an uptrend channel is confirmed, while orange diamonds indicate valid downtrend channels. These signals confirm the presence of a strong trend and help identify valid entry and exit points. Neutral channels, which indicate lower momentum, do not show diamond signals.
Example of trend confirmation signals:
⯌ Customizable Settings :
Users can adjust the channel length (how far back the trend is analyzed) and the width (which determines the channel boundaries based on volatility). The future price projection can also be customized to forecast further or fewer bars into the future.
⯁ USER INPUTS
Trend Length : Sets the number of bars used to calculate the trend channels.
Channel Width : Adjusts the width of the channels, based on volatility (ATR multiplier).
Up and Down Colors : Allows customization of the colors used for uptrend and downtrend channels.
Future Bars : Sets the number of bars used for future price projection.
⯁ CONCLUSION
The Future Trend Channel indicator is a versatile tool for identifying and trading trends. With its ability to detect momentum shifts and project future prices, it provides traders with key insights for making more informed decisions. The use of diamond signals for trend validation adds an extra layer of confirmation, helping traders act with greater confidence during volatile or trending markets.
Target Trend [BigBeluga]The Target Trend indicator is a trend-following tool designed to assist traders in capturing directional moves while managing entry, stop loss, and profit targets visually on the chart. Using adaptive SMA bands as the core trend detection method, this indicator dynamically identifies shifts in trend direction and provides structured exit points through customizable target levels.
SP500:
🔵 IDEA
The Target Trend indicator’s concept is to simplify trade management by providing automated visual cues for entries, stops, and targets directly on the chart. When a trend change is detected, the indicator prints an up or down triangle to signal entry direction, plots three customizable target levels for potential exits, and calculates a stop-loss level below or above the entry point. The indicator continuously adapts as price moves, making it easier for traders to follow and manage trades in real time.
When price crosses a target level, the label changes to a check mark, confirming that the target has been achieved. Similarly, if the stop-loss level is hit, the label changes to an "X," and the line becomes dashed, indicating that the stop loss has been activated. This feature provides traders with a clear visual trail of whether their targets or stop loss have been hit, allowing for easier trade tracking and exit strategy management.
🔵 KEY FEATURES & USAGE
SMA Bands for Trend Detection: The indicator uses adaptive SMA bands to identify the trend direction. When price crosses above or below these bands, a new trend is detected, triggering entry signals. The entry point is marked on the chart with a triangle symbol, which updates with each new trend change.
Automated Targets and Stop Loss Management: Upon a new trend signal, the indicator automatically plots three price targets and a stop loss level. These levels provide traders with structured exit points for potential gains and a clear risk limit. The stop loss is placed below or above the entry point, depending on the trend direction, to manage downside risk effectively.
Visual Target and Stop Loss Validation: As price hits each target, the label beside the level updates to a check mark, indicating that the target has been reached. Similarly, if the stop loss is activated, the stop loss label changes to an "X," and the line becomes dashed. This feature visually confirms whether targets or stop losses are hit, simplifying trade management.
The indicator also marks the entry price at each trend change with a label on the chart, allowing traders to quickly see their initial entry point relative to current price and target levels.
🔵 CUSTOMIZATION
Trend Length: Set the lookback period for the trend-detection SMA bands to adjust the sensitivity to trend changes.
Targets Setting: Customize the number and spacing of the targets to fit your trading style and market conditions.
Visual Styles: Adjust the appearance of labels, lines, and symbols on the chart for a clearer view and personalized layout.
🔵 CONCLUSION
The Target Trend indicator offers a streamlined approach to trend trading by integrating entry, target, and stop loss management into a single visual tool. With automatic tracking of target levels and stop loss hits, it helps traders stay focused on the current trend while keeping track of risk and reward with minimal effort.
VWAP Stdev Bands Strategy (Long Only)The VWAP Stdev Bands Strategy (Long Only) is designed to identify potential long entry points in trending markets by utilizing the Volume Weighted Average Price (VWAP) and standard deviation bands. This strategy focuses on capturing upward price movements, leveraging statistical measures to determine optimal buy conditions.
Key Features:
VWAP Calculation: The strategy calculates the VWAP, which represents the average price a security has traded at throughout the day, weighted by volume. This is an essential indicator for determining the overall market trend.
Standard Deviation Bands: Two bands are created above and below the VWAP, calculated using specified standard deviations. These bands act as dynamic support and resistance levels, providing insight into price volatility and potential reversal points.
Trading Logic:
Long Entry Condition: A long position is triggered when the price crosses below the lower standard deviation band and then closes above it, signaling a potential price reversal to the upside.
Profit Target: The strategy allows users to set a predefined profit target, closing the long position once the specified target is reached.
Time Gap Between Orders: A customizable time gap can be specified to prevent multiple orders from being placed in quick succession, allowing for a more controlled trading approach.
Visualization: The VWAP and standard deviation bands are plotted on the chart with distinct colors, enabling traders to visually assess market conditions. The strategy also provides optional plotting of the previous day's VWAP for added context.
Use Cases:
Ideal for traders looking to engage in long-only positions within trending markets.
Suitable for intraday trading strategies or longer-term approaches based on market volatility.
Customization Options:
Users can adjust the standard deviation values, profit target, and time gap to tailor the strategy to their specific trading style and market conditions.
Note: As with any trading strategy, it is important to conduct thorough backtesting and analysis before live trading. Market conditions can change, and past performance does not guarantee future results.
The Ultimate ATR-BBW Market Volatility Indicator"The ATR-BBW Market Volatility Indicator combines the Average True Range (ATR) and Bollinger Bands Width (BBW) to provide a measure of market volatility. This indicator does not indicate bullish or bearish trends, but rather the magnitude of price fluctuations.
* Usage: When the indicator moves upward, it suggests increasing market volatility, indicating that prices are moving within a wider range. Conversely, a downward movement implies decreasing volatility, signifying that prices are moving within a narrower range.
* Note: This sub-indicator solely reflects market volatility and does not provide buy or sell signals.
Investing involves risk. Please conduct thorough research before making any investment decisions.
ATR and BBW Explained:
* Average True Range (ATR): ATR is a technical analysis indicator used to measure market volatility. It calculates the average of a series of true ranges, where the true range is the greatest of the following:
* The current high minus the current low
* The absolute value of the current high minus the previous close
* The absolute value of the current low minus the previous close
* A higher ATR value indicates higher volatility, while a lower value suggests lower volatility.
* Bollinger Bands Width (BBW): Bollinger Bands are plotted two standard deviations above and below a simple moving average. BBW measures the distance between the upper and lower bands. A wider BBW indicates higher volatility, as prices are moving further away from the moving average. Conversely, a narrower BBW suggests lower volatility.
Combining ATR and BBW:
By combining ATR and BBW, the ATR-BBW indicator provides a more comprehensive view of market volatility. ATR captures the overall volatility of the market, while BBW measures the volatility relative to the moving average. Together, they provide a more robust indicator of market conditions and can be used to identify potential trading opportunities.
Why ATR and BBW are Effective for Measuring Volatility:
* ATR directly measures the actual price movement, regardless of the direction.
* BBW shows how much prices are deviating from their average, indicating the strength of the current trend.
* Combined: By combining these two measures, the ATR-BBW indicator provides a more comprehensive and accurate assessment of market volatility.
In essence, the ATR-BBW indicator helps traders understand the magnitude of price fluctuations, allowing them to make more informed trading decisions.
PTS - Bollinger Bands with Trailing StopPTS - Bollinger Bands with Trailing Stop Strategy
Overview
The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism.
Key Features
1. Bollinger Bands Indicator
Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price).
2. Entry Conditions
The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum.
3. Exit Conditions
Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band .
4. Risk Management
Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable).
5. Date Range Filter
Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069.
Customizable Inputs
BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity.
Thought for 1m 7s
Description for the "PTS - Bollinger Bands with Trailing Stop" Strategy
PTS - Bollinger Bands with Trailing Stop Strategy
Overview
The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism.
Key Features
1. Bollinger Bands Indicator
Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price).
2. Entry Conditions
The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum.
3. Exit Conditions
Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band .
4. Risk Management
Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable).
5. Date Range Filter
Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069.
Customizable Inputs
BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity.
How the Strategy Works
1. Initialization
Calculates Bollinger Bands and ATR based on selected parameters.
2. Entry Logic
Opens a long position when the closing price exceeds the upper Bollinger Band.
3. Exit Logic
Uses a trailing stop loss based on ATR. Exits if the closing price drops below the lower Bollinger Band.
4. Date Filtering
Executes trades only within the specified date range.
Advantages
Adaptive Risk Management: Trailing stop adjusts to market volatility. Simplicity: Clear entry and exit signals. Customizable Parameters: Tailor the strategy to different assets or conditions.
Considerations
Aggressive Position Sizing: Using 100% equity per trade is high-risk. Market Conditions: Best in trending markets; may produce false signals in sideways markets. Backtesting: Always test on historical data before live trading.
Disclaimer
This strategy is intended for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Assess your financial situation and consult a financial advisor if necessary.
Usage Instructions
1. Apply the Strategy: Add it to your TradingView chart. 2. Configure Inputs: Adjust parameters to suit your style and asset. 3. Analyze Backtest Results: Use the Strategy Tester. 4. Optimize Parameters: Experiment with input values. 5. Risk Management: Evaluate position sizing and incorporate risk controls.
Final Notes
The "PTS - Bollinger Bands with Trailing Stop" strategy provides a framework to leverage momentum breakouts while managing risk through adaptive trailing stops. Customize and test thoroughly to align with your trading objectives.
Uphorico Candle RangesThis script allows you to see the high and low prices of a specific previous timeframe directly on your TradingView chart. You can choose which previous period to view—previous month, week, day, or last Monday—and the script will plot two horizontal lines for the high and low prices of that period. These lines help you quickly identify key levels based on past performance.
Features of the Script:
1. Select Previous Timeframe: You can choose between:
• Month: Shows the high and low of the previous month.
• Week: Shows the high and low of the previous week.
• Day: Shows the high and low of the previous day.
• Monday: Shows the high and low of the most recent Monday.
2. Line Customization:
• Color: Choose different colors for the high and low lines.
• Thickness: Adjust the line thickness (1–5).
• Style: Choose from solid, dashed, or dotted lines.
3. Touch Source Candle Option:
• If enabled, the lines will start directly at the last candle of the selected timeframe (e.g., at the last candle of the previous month or week).
• If disabled, the lines will start from the current bar and extend to the right.
How It Works:
• The script retrieves the high and low prices from your selected previous timeframe and draws two horizontal lines (one for the high and one for the low).
• These lines provide a quick visual reference for key support and resistance levels based on past periods, making it easier to spot potential price action zones.
This tool is designed to be simple and customizable, helping you analyze past levels and make better trading decisions.
Daily BreadWhat it does:
This script uses specific multiple true ranges from a 30 EMA baseline to plot lines that represent 10% buying increments. Although the common period for ATR is 14, this script employs a period of 20 for smoothing that I have determined is more effective when used with a daily candle chart. It includes onscreen trend signals to identify an uptrend or downtrend when the 50 EMA crosses the 90 EMA and will also display a coloured directional signal at each candle beyond an EMA cross to identify the current trend.
The script plots a scale of percentage labels at the end of each line to identify the percent of an account intended to be in short or longer term trades.
How it does it:
The script uses a 30 EMA baseline and then multiplies ATR increments of +1, +2, +4 and -1 through -7. These ATR multiples and the EMA are plotted as 11 lines, 10 of which make up the range of 10% increments from 10% to 100% with the 11th line being the High Band representing the extreme high or expected sale of any holdings. The percentage label scale uses variable declarations to position and colour match a percentage label to each line.
Intended use:
It is intended to be used for short term trading or long term investing with a daily market index chart such as SPY and multiple exchange traded funds that track said market index. A different ETF is purchased when a daily SPY candle reaches a lower buy band using 10% of a total account value. The sale of any ETFs is at the discretion of the trader and dependent on investment strategy (short term trading or long term inventing) and the trend. When short term trading in a downtrend or when daily candles are below the 50 EMA, selling would be done every 2 to 3 bands above a buy to mitigate the risk of a significant portion of an account getting caught in a downtrend. In an uptrend the High Band would be used to sell any holdings.
Polygonal Pivot Bands [FXSMARTLAB]The Polygonal Pivot Bands highlights key price pivots, dynamic support and resistance levels, and recent price action on a trading chart. This indicator connects pivot highs and lows with a zigzag line, extends a real-time dashed line to the latest price point, and plots diagonal support/resistance levels that adapt to price movement. These elements together provide traders with a view of significant price zones and potential trend shifts.
Key Components of the Indicator
Pivots are calculated based on user-defined lengths, specifying how many bars on either side of a high or low are required to validate it as a pivot.
Adjustable left and right pivot lengths allow traders to control the sensitivity of pivot detection, with higher values resulting in fewer, more prominent pivots, and lower values increasing sensitivity to price changes.
Zigzag Line
The zigzag line connects consecutive pivot points, filtering out smaller fluctuations and emphasizing the broader direction of price movement.
Users can customize the line's color and thickness to match their preferences, helping them focus on larger trends and potential reversal points.
By linking pivot highs and lows, the zigzag pattern highlights the overall trend and potential points of reversal.
Real-Time Connector Line
A dashed line extends from the last confirmed pivot to the latest price point, providing a real-time, bar-by-bar update of the current price relative to the previous pivot.
This line does not project future price direction but maintains an up-to-date connection with the current price, showing the distance from the last pivot.
Its color and thickness are customizable for improved visibility on the chart.
Dynamic Support and Resistance Levels
The indicator plots dynamic support and resistanc e levels by connecting recent pivot highs and lows, resulting in lines that may appear diagonal rather than strictly horizontal.
These levels move in line with price action, adapting to the natural direction of trends, and offer visual cues where price may encounter support or resistance.
Colors and thickness of these lines can be set individually, allowing traders to adjust visibility according to their preferences.
Enabling these lines gives traders an ongoing reference for critical price boundaries that align more closely with the overall trend.
Previous Day High/Low ±0.5%The simple script was written for the educational purposes, to check if the simple system can help to hedge your strategic portfolio. Mainly works with Indexes (tested on IRUS). You can optimize strategy by changing the % in the pine code. Working mainly on D timeframe.
Current script gives you the lines on the graph, you should check if the current day close price is above the high line - buy, if below - close your buy, or reverce your position to sell, if you go in short.
Ultimate Multi Indicator - by SachaThe Ultimate Multi Indicator: The Ultimate Guide To Profit
This custom indicator, the Ultimate Multi Indicator , integrates multiple trading indicators to have powerful buy and sell signals. I combined MACD, EMA, RSI, Bollinger Bands, Volume Profile, and Ichimoku Cloud indicators to help traders analyze both short-term and long-term price movements.
Key Components and How to Use Them
- MACD (Moving Average Convergence Divergence):
- Use for trend direction and potentiality of reversals.
- The blue line (MACD Line) crossing above the orange line (Signal Line) indicates a bullish reversal; the opposite signals a bearish reversal.
- Watch for crossovers to confirm the direction of smaller price movements.
- 200 EMA (Long) (Exponential Moving Average):
- Use to indicate a long-term trend direction.
- If the price is above the 200 EMA, the market is in an uptrend; below it suggests a downtrend.
- The chart’s background color shifts subtly green (uptrend) or red (downtrend) depending on the EMA's relative position.
- RSI (Relative Strength Index):
- Tracks momentum and overbought/oversold levels.
- RSI over 70 signifies overbought conditions; under 30 indicates oversold.
- Look for RSI turning points around these levels to identify potential reversals.
- Bollinger Bands :
- The price touching or crossing the upper Bollinger Band may mean overbought conditions are filled, while a touch at the lower band indicates oversold.
- Bollinger Band interactions often align with key reversal points, especially when combined with other signals.
- Volume Profile :
- A yellow VP line on the chart represents significant trading volume occurred.
- This line can be used as both a support and resistance level, and especially during consolidations or trend changes.
- Ichimoku Cloud :
- Identifies support/resistance levels and trend direction.
- Green and red cloud regions visually show if the price is above (bullish) or below (bearish) key levels.
- Price above the cloud (green) confirms a bullish market, while below (red) signals bearish.
Signal Conditions and Visualization
- Buy Signals :
- This is triggered right away when MACD crosses up, RSI is oversold, or price touches the lower Bollinger Band, provided price is above both the Ichimoku Cloud and the 200 EMA.
- A green “BUY” label appears below the bar, suggesting a potential entry.
- Sell Signals :
- This signal is generated when MACD crosses down, RSI is overbought, or price touches the upper Bollinger Band, and price is below the Ichimoku Cloud and the 200 EMA.
- A red “SELL” label is shown above the bar, indicating a potential exit.
Tips & Tricks
- Confirm Signals : Use multiple signals to confirm entries and exits. For example, if both the MACD and RSI align with the Ichimoku Cloud direction, the trade setup is stronger.
- Trend Directions : Only take buy signals if the price is above the 200 EMA, and sell signals if it is below, aligning trades with the overall trend.
- Adjust for Volatility : In high-volatility markets, especially in the crypto markets, pay close attention to the Bollinger Bands for breakout potential.
- Ichimoku as a Trend Guide : Use the Ichimoku Cloud as a guide for long-term support and resistance levels, especially for swing trades.
This multi-layered indicator gives a balanced blend of short-term signals and long-term trend insights, making it a versatile tool for day trading, swing trading, or even longer-term analysis.
Remember that indicators that will make you rich instantly don't exist. To expect minimum profit from them, you shouldn't trade all you have at the same time but only trade with the money you can afford to lose.
After that being said, I wish you traders luck with the Ultimate Multi Indicator!
Smart Ribbon V2 [FXSMARTLAB]The Smart Ribbon V2 indicator is designed to analyze market trends and momentum by plotting a series of moving averages with varying periods, all within a single overlay on the price chart. This approach creates a "ribbon" effect, enabling traders to visualize trend strength, reversals, and potential entry or exit points. The indicator provides flexibility through different moving average types, including some advanced ones like QUEMA (Quadruple Exponential Moving Average) and QuintEMA (Quintuple Exponential Moving Average). Each moving average is color-coded to indicate trend direction and momentum, making it visually intuitive and effective for quick decision-making in trend-following strategies.
The Smart Ribbon V2 helps traders:
Identify Trend Direction
Gauge Momentum
Spot Trend Reversals
Determine Entry and Exit Points
Detailed Explanation of QUEMA and QuintEMA
The QUEMA (Quadruple Exponential Moving Average) and QuintEMA (Quintuple Exponential Moving Average) are advanced smoothing techniques that build on traditional exponential moving averages (EMAs). Both offer higher sensitivity to recent price changes than standard EMAs by adding layers of exponential smoothing. These moving averages are particularly useful for traders looking for a more responsive indicator without the noise often present in shorter-period EMAs.
QUEMA (Quadruple Exponential Moving Average)
The QUEMA is calculated by applying the EMA calculation four times in succession. This method smooths out fluctuations in the price data, creating a balance between sensitivity to recent data and resistance to short-term noise.
The mathematical formula for QUEMA is:
QUEMA=4×EMA1−6×EMA2+4×EMA3−EMA4
This formula results in a moving average that is smoother than a triple EMA (TEMA) and provides a better response to price trends without excessive lag.
QuintEMA (Quintuple Exponential Moving Average)
The QuintEMA goes one step further by applying the EMA calculation five times in a row. This level of exponential smoothing is useful for identifying strong, persistent trends while remaining adaptive to recent price shifts.
The QuintEMA is calculated as :
QuintEMA=5×EMA1−10×EMA2+10×EMA3−5×EMA4+EMA5
The additional layer in QuintEMA further reduces the impact of short-term price fluctuations, making it especially useful in strongly trending markets.
The Smart Ribbon V2 combines the benefits of several moving average types to deliver a versatile tool for analyzing market trends, momentum, and potential reversals. With QUEMA and QuintEMA as advanced options, it allows traders to tailor the indicator to match their preferred trading style, whether it involves higher responsiveness or smoother trend visualization. This adaptability makes Smart Ribbon V2 a powerful choice for both novice and experienced traders seeking to improve their trend-following and market analysis strategies.
This is my first published indicator! If you like it, leave a comment, like, subscribe, or show your support. Based on your feedback and appreciation, I'll be happy to release more of my personal indicators in the future.
Linear Regression Channel UltimateKey Features and Benefits
Logarithmic scale option for improved analysis of long-term trends and volatile markets
Activity-based profiling using either touch count or volume data
Customizable channel width and number of profile fills
Adjustable number of most active levels displayed
Highly configurable visual settings for optimal chart readability
Why Logarithmic Scale Matters
The logarithmic scale option is a game-changer for analyzing assets with exponential growth or high volatility. Unlike linear scales, log scales represent percentage changes consistently across the price range. This allows for:
Better visualization of long-term trends
More accurate comparison of price movements across different price levels
Improved analysis of volatile assets or markets experiencing rapid growth
How It Works
The indicator calculates a linear regression line based on the specified period
Upper and lower channel lines are drawn at a customizable distance from the regression line
The space between the channel lines is divided into a user-defined number of levels
For each level, the indicator tracks either:
- The number of times price touches the level (touch count method)
- The total volume traded when price is at the level (volume method)
The most active levels are highlighted based on this activity data
Understanding Touch Count vs Volume
Touch count method: Useful for identifying key support/resistance levels based on price action alone
Volume method: Provides insight into levels where the most trading activity occurs, potentially indicating stronger support/resistance
Practical Applications
Trend identification and strength assessment
Support and resistance level discovery
Entry and exit point optimization
Volume profile analysis for improved market structure understanding
This Linear Regression Channel indicator combines powerful statistical analysis with flexible visualization options, making it an invaluable tool for traders and analysts across various timeframes and markets. Its unique features, especially the logarithmic scale and activity profiling, provide deeper insights into market behavior and potential turning points.
Advanced Klinger OscillatorAdvanced Klinger Oscillator
The Advanced Klinger Oscillator is an enhanced version of the traditional Klinger Oscillator, which measures the difference between two exponential moving averages (EMAs) of volume flow. This tool helps traders identify momentum shifts and potential trading opportunities.
Key Features:
Dual EMA Calculation: The oscillator calculates the difference between a short-term and a long-term EMA of volume flow, smoothing out price fluctuations for clearer trend analysis.
Signal Line: A signal line, which is an EMA of the Klinger Oscillator, generates buy and sell signals. A crossover above the signal line indicates a potential buy, while a crossover below suggests a sell.
Volume Confirmation: Signals are only generated when trading volume exceeds a specified threshold, ensuring that price movements are supported by sufficient market activity.
Trend Lines: Upper and lower trend lines are plotted above the oscillator, helping traders visualize momentum strength and identify bullish or bearish trends.
Background Color Coding: The indicator uses color changes in the background to indicate positive (green) and negative (red) momentum, allowing for quick assessment of market conditions.
Usage:
Traders can utilize the Advanced Klinger Oscillator to:
Identify entry and exit points based on oscillator and signal line crossovers.
Confirm trends by observing the relationship between the oscillator and its trend lines.
Make informed trading decisions by considering volume alongside price movements.
The Advanced Klinger Oscillator is a valuable addition to any trader's toolkit, combining price momentum, volume analysis, and visual cues for effective trading strategies.
Price ActionThis Pine Script code creates an indicator that plots price channels for volatility analysis:
The main parameter is the period length (default is 30), used to calculate volatility with ATR (Average True Range). Data retrieval: The indicator takes the closing price and uses it for calculations. Channel calculation: Based on volatility, three levels of channels are created: the first is the base channel, while the second and third are expanded by 8% and 16%.
First-level channels: The upper and lower boundaries of the channel are calculated based on volatility. This uses the previous bar's closing price, adjusted by a volatility coefficient.
Second and third-level channels: These channels expand by 8% and 16%, respectively, from the base channel. This creates zones that can indicate increasing or decreasing market volatility.
Each channel uses different colors and transparency levels:
The upper and lower boundaries of the first channel have solid colors.
The second channel boundaries are more transparent to denote extended levels.
The third channel boundaries are also transparent, indicating the widest range of deviation.
Visualization: Channels are displayed with different colors and transparency levels to illustrate price ranges and volatility changes.
Purpose: The indicator helps traders visualize price ranges and assess market volatility, which is useful for making trading decisions.
Practical application: This indicator assists traders in evaluating market volatility and building trading strategies based on price ranges. The extended channels can be used to identify potential reversal or trend continuation zones.
