ATR with Donchian Channels and SMAsThis script combines the Average True Range (ATR), Donchian Channels, and Simple Moving Averages (SMAs) to provide a comprehensive tool for volatility and trend analysis.
Key Components:
ATR Calculation: The ATR is used to measure market volatility. It is calculated as a moving average of the true range over a specified length, which you can customize using different smoothing methods: RMA, SMA, EMA, or WMA. ATR helps identify periods of high and low volatility, giving insights into potential breakout or consolidation phases in the market.
Donchian Channels on ATR: The Donchian Channels are calculated based on the highest and lowest values of the ATR over a user-defined period. The upper and lower bands provide a volatility range, and the middle line represents the average of the two. This can help visualize the range of market volatility and detect possible trend reversals or continuations.
SMAs on ATR: Two Simple Moving Averages (SMA) are applied to the ATR values. These SMAs act as a smoothed version of the ATR, providing additional insight into volatility trends. By adjusting the length of these SMAs, you can track short-term and long-term volatility movements, helping in decision-making for potential entries and exits.
Inputs:
ATR Length: Set the length for calculating the ATR.
Smoothing Method: Choose from RMA, SMA, EMA, or WMA for smoothing the ATR calculation.
Donchian Channel Length: Set the length for calculating the highest and lowest ATR values for Donchian Channels.
SMA Lengths: Two adjustable lengths for applying SMAs to the ATR.
Visualization:
ATR Plot: The ATR is plotted in red, allowing you to see the market's volatility at a glance.
Donchian Channels: Blue lines represent the upper and lower bands, while the green line represents the middle line of the Donchian Channels, helping you visualize the volatility range.
SMAs: Two SMAs (green and orange) are plotted to smooth out the ATR and identify trends in volatility.
Use Cases:
Breakout Detection: High ATR values breaking out of the Donchian Channels may signal increased volatility and a potential breakout.
Trend Analysis: SMAs on ATR help smooth volatility trends, aiding in determining if the market is entering a more volatile or stable period.
Stop-Loss Placement: ATR and Donchian Channels can be used to set dynamic stop-loss levels based on market volatility.
This script is versatile and can be used across different asset classes, such as stocks, forex, crypto, and commodities. It is especially useful for traders who want to incorporate volatility into their trading strategies for better risk management and trend detection.
Donchian Channels (DC)
Donchian Channel Crosses_AITIndicator Name: Donchian Channel Crosses_AIT
Programming Language: Pine Script (TradingView)
Description
The Donchian Channel Crosses_AIT indicator is designed to provide trading signals based on the crossover of two Donchian Channels with different lookback periods. The indicator uses two channels, Donchian Channel A (default 7-day period) and Donchian Channel B (default 30-day period), to detect upward or downward momentum shifts. The signals are generated when the middle line of Donchian Channel A crosses above or below the middle line of Donchian Channel B.
Components
Donchian Channel A:
Default period: 7 days (modifiable by the user).
Middle Line: Calculated as the average of the highest high and lowest low over the period.
The middle line changes color depending on its position relative to Donchian Channel B.
Green: When Donchian Channel A's middle line is above Donchian Channel B's middle line.
Red: When Donchian Channel A's middle line is below Donchian Channel B's middle line.
Donchian Channel B:
Default period: 30 days (modifiable by the user).
Middle Line: Also calculated as the average of the highest high and lowest low over the period.
Always displayed as a white line with a line thickness of 1.
Long Signal:
Triggered when the middle line of Donchian Channel A crosses above the middle line of Donchian Channel B.
Displayed as a yellow triangle pointing up (L) below the price bar.
Short Signal:
Triggered when the middle line of Donchian Channel A crosses below the middle line of Donchian Channel B.
Displayed as a fuchsia triangle pointing down (S) above the price bar.
Settings
Donchian Channel A:
Default period: 7 days (modifiable via user input).
Middle line changes color based on its relationship to Donchian Channel B.
Donchian Channel B:
Default period: 30 days (modifiable via user input).
Middle line is always white and displayed with a line thickness of 1.
Signal Display:
Long Signal: A yellow "L" triangle is displayed when Donchian Channel A’s middle line crosses above Donchian Channel B’s middle line.
Short Signal: A fuchsia "S" triangle is displayed when Donchian Channel A’s middle line crosses below Donchian Channel B’s middle line.
Signals can be toggled on or off using the "Show Signals" setting.
Usage
Trend Confirmation:
Use this indicator to confirm trend direction by monitoring the relationship between Donchian Channel A and Donchian Channel B.
Uptrend: When Donchian Channel A’s middle line is above Donchian Channel B’s middle line (green line for Donchian A).
Downtrend: When Donchian Channel A’s middle line is below Donchian Channel B’s middle line (red line for Donchian A).
Entry and Exit Signals:
Long Signal: Enter a buy position when Donchian Channel A crosses above Donchian Channel B.
Short Signal: Enter a sell position when Donchian Channel A crosses below Donchian Channel B.
Visual Representation:
The Donchian Channels are drawn on the price chart, with Donchian Channel A dynamically changing color depending on its relative position to Donchian Channel B.
Curved Price Channels (Zeiierman)█ Overview
The Curved Price Channels (Zeiierman) is designed to plot dynamic channels around price movements, much like the traditional Donchian Channels, but with a key difference: the channels are curved instead of straight. This curvature allows the channels to adapt more fluidly to price action, providing a smoother representation of the highest high and lowest low levels.
Just like Donchian Channels, the Curved Price Channels help identify potential breakout points and areas of trend reversal. However, the curvature offers a more refined approach to visualizing price boundaries, making it potentially more effective in capturing price trends and reversals in markets that exhibit significant volatility or price swings.
The included trend strength calculation further enhances the indicator by offering insight into the strength of the current trend.
█ How It Works
The Curved Price Channels are calculated based on the asset's average true range (ATR), scaled by the chosen length and multiplier settings. This adaptive size allows the channels to expand and contract based on recent market volatility. The central trendline is calculated as the average of the upper and lower curved bands, providing a smoothed representation of the overall price trend.
Key Calculations:
Adaptive Size: The ATR is used to dynamically adjust the width of the channels, making them responsive to changes in market volatility.
Upper and Lower Bands: The upper band is calculated by taking the maximum close value and adjusting it downward by a factor proportional to the ATR and the multiplier. Similarly, the lower band is calculated by adjusting the minimum close value upward.
Trendline: The trendline is the average of the upper and lower bands, representing the central tendency of the price action.
Trend Strength
The Trend Strength feature in the Curved Price Channels is a powerful feature designed to help traders gauge the strength of the current trend. It calculates the strength of a trend by analyzing the relationship between the price's position within the curved channels and the overall range of the channels themselves.
Range Calculation:
The indicator first determines the distance between the upper and lower curved channels, known as the range. This range represents the overall volatility of the price within the given period.
Range = Upper Band - Lower Band
Relative Position:
The next step involves calculating the relative position of the closing price within this range. This value indicates where the current price sits in relation to the overall range.
RelativePosition = (Close - Trendline) / Range
Normalization:
To assess the trend strength over time, the current range is normalized against the maximum and minimum ranges observed over a specified look-back period.
NormalizedRange = (Range - Min Range) / (Max Range - Min Range)
Trend Strength Calculation:
The final Trend Strength is calculated by multiplying the relative position by the normalized range and then scaling it to a percentage.
TrendStrength = Relative Position * Normalized Range * 100
This approach ensures that the Trend Strength not only reflects the direction of the trend but also its intensity, providing a more comprehensive view of market conditions.
█ Comparison with Donchian Channels
Curved Price Channels offer several advantages over Donchian Channels, particularly in their ability to adapt to changing market conditions.
⚪ Adaptability vs. Fixed Structure
Donchian Channels: Use a fixed period to plot straight lines based on the highest high and lowest low. This can be limiting because the channels do not adjust to volatility; they remain the same width regardless of how much or how little the price is moving.
Curved Price Channels: Adapt dynamically to market conditions using the Average True Range (ATR) as a measure of volatility. The channels expand and contract based on recent price movements, providing a more accurate reflection of the market's current state. This adaptability allows traders to capture both large trends and smaller fluctuations more effectively.
⚪ Sensitivity to Market Movements
Donchian Channels: Are less sensitive to recent price action because they rely on a fixed look-back period. This can result in late signals during fast-moving markets, as the channels may not adjust quickly enough to capture new trends.
Curved Price Channels: Respond more quickly to changes in market volatility, making them more sensitive to recent price action. The multiplier setting further allows traders to adjust the channel's sensitivity, making it possible to capture smaller price movements during periods of low volatility or filter out noise during high volatility.
⚪ Enhanced Trend Strength Analysis
Donchian Channels: Do not provide direct insight into the strength of a trend. Traders must rely on additional indicators or their judgment to gauge whether a trend is strong or weak.
Curved Price Channels: Includes a built-in trend strength calculation that takes into account the distance between the upper and lower channels relative to the trendline. A broader range between the channels typically indicates a stronger trend, while a narrower range suggests a weaker trend. This feature helps traders not only identify the direction of the trend but also assess its potential longevity and strength.
⚪ Dynamic Support and Resistance
Donchian Channels: Offer static support and resistance levels that may not accurately reflect changing market dynamics. These levels can quickly become outdated in volatile markets.
Curved Price Channels: Offer dynamic support and resistance levels that adjust in real-time, providing more relevant and actionable trading signals. As the channels curve to reflect price movements, they can help identify areas where the price is likely to encounter support or resistance, making them more useful in volatile or trending markets.
█ How to Use
Traders can use the Curved Price Channels in similar ways to Donchian Channels but with the added benefits of the adaptive, curved structure:
Breakout Identification:
Just like Donchian Channels, when the price breaks above the upper curved band, it may signal the start of a bullish trend, while a break below the lower curved band could indicate a bearish trend. The curved nature of the channels helps in capturing these breakouts more precisely by adjusting to recent volatility.
Volatility:
The width of the price channels in the Curved Price Channels indicator serves as a clear indicator of current market volatility. A wider channel indicates that the market is experiencing higher volatility, as prices are fluctuating more dramatically within the period. Conversely, a narrower channel suggests that the market is in a lower volatility state, with price movements being more subdued.
Typically, higher volatility is observed during negative trends, where market uncertainty or fear drives larger price swings. In contrast, lower volatility is often associated with positive trends, where prices tend to move more steadily and predictably. The adaptive nature of the Curved Price Channels reflects these volatility conditions in real time, allowing traders to assess the market environment quickly and adjust their strategies accordingly.
Support and Resistance:
The trend line act as dynamic support and resistance levels. Due to it's adaptive nature, this level is more reflective of the current market environment than the fixed level of Donchian Channels.
Trend Direction and Strength:
The trend direction and strength are highlighted by the trendline and the directional candle within the Curved Price Channels indicator. If the price is above the trendline, it indicates a positive trend, while a price below the trendline signals a negative trend. This directional bias is visually represented by the color of the directional candle, making it easy for traders to quickly identify the current market trend.
In addition to the trendline, the indicator also displays Max and Min values. These represent the highest and lowest trend strength values within the lookback period, providing a reference point for understanding the current trend strength relative to historical levels.
Max Value: Indicates the highest recorded trend strength during the lookback period. If the Max value is greater than the Min value, it suggests that the market has generally experienced more positive (bullish) conditions during this time frame.
Min Value: Represents the lowest recorded trend strength within the same period. If the Min value is greater than the Max value, it indicates that the market has been predominantly negative (bearish) over the lookback period.
By assessing these Max and Min values, traders gain an immediate understanding of the underlying trend. If the current trend strength is close to the Max value, it indicates a strong bullish trend. Conversely, if the trend strength is near the Min value, it suggests a strong bearish trend.
█ Settings
Trend Length: Defines the number of bars used to calculate the core trendline and adaptive size. A length of 200 will create a smooth, long-term trendline that reacts slowly to price changes, while a length of 20 will create a more responsive trendline that tracks short-term movements.
Multiplier: Adjusts the width of the curved price channels. A higher value tightens the channels, making them more sensitive to price movements, while a lower value widens the channels. A multiplier of 10 will create tighter channels that are more sensitive to minor price fluctuations, which is useful in low-volatility markets. A multiplier of 2 will create wider channels that capture larger trends and are better suited for high-volatility markets.
Trend Strength Length: Defines the period over which the maximum and minimum ranges are calculated to normalize the trend strength. A length of 200 will smooth out the trend strength readings, providing a stable indication of trend health, whereas a length of 50 will make the readings more reactive to recent price changes.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Double Donchian Channels [CrossTrade]Dual Channel System
The indicator incorporates two Donchian Channels - the Inner Channel and the Outer Channel. These channels are adjustable, allowing users to define their lengths according to their trading strategy.
Inner Channel: With a default length of 100 periods, the Inner Channel provides a closer view of market trends and potential support and resistance areas. It includes an upper, lower, and middle line (average of the upper and lower), offering detailed insights into shorter-term price movements.
Outer Channel: Set with a default length of 300 periods, the Outer Channel offers a broader perspective, ideal for identifying long-term trends and stronger levels of support and resistance.
Dynamic Color Coding: The middle lines of both channels change color based on the relationship between the previous close and the channel's basis. This feature provides an immediate visual cue regarding market sentiment.
Touching Bars Highlighting: The indicator highlights bars that touch the upper or lower bands of either channel. This is particularly useful for identifying potential reversals or continuation patterns.
Pullback Identification: By differentiating between bars that touch the Inner Channel only and those that touch the Outer Channel, the indicator helps in identifying pullbacks within a broader trend.
Customizable Alert System: Users can set up alerts for specific conditions - a bar touching the bottom band of the Inner Channel (green), the bottom band of the Outer Channel (blue), the upper band of the Inner Channel (red), and the upper band of the Outer Channel (orange). These alerts assist in timely decision-making and can be tailored to individual trading styles.
The indicator is a versatile tool designed to adapt to various trading styles and timeframes. Its features make it suitable for trend analysis, identifying potential reversal points, and understanding market volatility.
TASC 2024.06 REIT ETF Trading System█ OVERVIEW
This strategy script demonstrates the application of the Real Estate Investment Trust (REIT) ETF trading system presented in the article by Markos Katsanos titled "Is The Price REIT?" from TASC's June 2024 edition of Traders' Tips .
█ CONCEPTS
REIT stocks and ETFs offer a simplified, diversified approach to real estate investment. They exhibit sensitivity to interest rates, often moving inversely to interest rate and treasury yield changes. Markos Katsanos explores this relationship and the correlation of prices with the broader market to develop a trading strategy for REIT ETFs.
The script employs Bollinger Bands and Donchian channel indicators to identify oversold conditions and trends in REIT ETFs. It incorporates the 10-year treasury yield index (TNX) as a proxy for interest rates and the S&P 500 ETF (SPY) as a benchmark for the overall market. The system filters trade entries based on their behavior and correlation with the REIT ETF price.
█ CALCULATIONS
The strategy initiates long entries (buy signals) under two conditions:
1. Oversold condition
The weekly ETF low price dips below the 15-week Bollinger Band bottom, the closing price is above the value by at least 0.2 * ATR ( Average True Range ), and the price exceeds the week's median.
Either of the following:
– The TNX index is down over 15% from its 25-week high, and its correlation with the ETF price is less than 0.3.
– The yield is below 2%.
2. Uptrend
The weekly ETF price crosses above the previous week's 30-week Donchian channel high.
The SPY ETF is above its 20-week moving average.
Either of the following:
– Over ten weeks have passed since the TNX index was at its 30-week high.
– The correlation between the TNX value and the ETF price exceeds 0.3.
– The yield is below 2%.
The strategy also includes three exit (sell) rules:
1. Trailing (Chandelier) stop
The weekly close drops below the highest close over the last five weeks by over 1.5 * ATR.
The TNX value rises over the latest 25 weeks, with a yield exceeding 4%, or its value surges over 15% above the 25-week low.
2. Stop-loss
The ETF's price declines by at least 8% of the previous week's close and falls below the 30-week moving average.
The SPY price is down by at least 8%, or its correlation with the ETF's price is negative.
3. Overbought condition
The ETF's value rises above the 100-week low by over 50%.
The ETF's price falls over 1.5 * ATR below the 3-week high.
The ETF's 10-week Stochastic indicator exceeds 90 within the last three weeks.
█ DISCLAIMER
This strategy script educates users on the system outlined by the TASC article. However, note that its default properties might not fully represent real-world trading conditions for an individual. By default, it uses 10% of equity as the order size and a slippage amount of 5 ticks. Traders should adjust these settings and the commission amount when using this script. Additionally, since this strategy utilizes compound conditions on weekly data to trigger orders, it will generate significantly fewer trades than other, higher-frequency strategies.
Donchian channels / Connectable [Azullian]Refine your breakout trading techniques with Donchian Channels. Accurately pinpoint significant highs and lows, enhancing your capacity to detect and react to key market movements.
This connectable Donchian channels indicator is part of an indicator system designed to help test, visualize and build strategy configurations without coding. Like all connectable indicators , it interacts through the TradingView input source, which serves as a signal connector to link indicators to each other. All connectable indicators send signal weight to the next node in the system until it reaches either a connectable signal monitor, signal filter and/or strategy.
█ UNIFORM SETTINGS AND A WAY OF WORK
Although connectable indicators may have specific weight scoring conditions, they all aim to follow a standardized general approach to weight scoring settings, as outlined below.
■ Connectable indicators - Settings
• 🗲 Energy: Energy applies an ATR multiplier to the plotted shapes on the chart. A higher value plots shapes farther away from the candle, enhancing visibility.
• ☼ Brightness: Brightness determines the opacity of the shape plotted on the chart, aiding visibility. Indicator weight also influences opacity.
• → Input: Use the input setting to specify a data source for the indicator. Here you can connect the indicator to other indicators.
• ⌥ Flow: Determine where you want to receive signals from:
○ Both: Weights from this indicator and the connected indicator will apply
○ Indicator only: Only weights from this indicator will apply
○ Input only: Only weights from the connected indicator will apply
• ⥅ Weight multiplier: Multiply all weights in the entire indicator by a given factor, useful for quickly testing different indicators in a granular setup.
• ⥇ Threshold: Set a threshold to indicate the minimum amount of weight it should receive to pass it through to the next indicator.
• ⥱ Limiter: Set a hard limit to the maximum amount of weight that can be fed through the indicator.
■ Connectable indicators - Weight scoring settings
▢ Weight scoring conditions
• SM – Signal mode: Enable specific conditions for weight scoring
○ All: All signals will be scored.
○ Entries only: Only entries will score
○ Exits only: Only exits will score.
○ Entries & exits: Both entries and exits will score.
○ Zone: Continuous scoring for each candle within the zone.
• SP – Signal period: Defines a range of candles within which a signal can score.
• SC - Signal count: Specifies the number of bars to retrospectively examine and score.
○ Single: Score for a single occurrence
○ All occurrences: Score for all occurrences
○ Single + Threshold: Score for single occurrences within the signal period (SP)
○ Every + Threshold: Score for all occurrences within the signal period (SP)
▢ Weight scoring direction
• ES: Enter Short weight
• XL: Exit long weight
• EL: Enter Long weight
• XS: Exit Short weight
▢ Weight scoring values
• Weights can hold either positive or negative scores. Positive weights enhance a particular trading direction, while negative weights diminish it.
█ Donchian channels - INDICATOR SETTINGS
■ Main settings
• Enable/Disable Indicator: Toggle the entire indicator on or off.
• S - Source: Choose an alternative data source for the Donchian channels calculation.
• T - Timeframe: Select an alternative timeframe for the Donchian channels calculation.
• LE - Length: Determine the period the Donchian channels are calculated on
• Enable/Disable plotting: Toggle the plotting of the Donchian channels
• U: Choose a color for the upper band
• B: Choose a color for the basis
• L: Choose a color for the lower band
• BG: Choose a color for Donchian channels background
■ Scoring functionality
• The Donchian channels score long entries when the current low price is equal to lower band.
• The Donchian channels score long exits when the current high price is equal to the upper band.
• The Donchian channels score long zones the entire time the current low price is equal to the lower band.
• The Donchian channels score short entries when the current high is equal to the upper band.
• The Donchian channels score short exits when the current low is equal to the lower band.
• The Donchian channels score short zones the entire time the current high price is equal to the upper band.
█ PLOTTING
• Standard: Symbols (EL, XS, ES, XL) appear relative to candles based on set conditions. Their opacity and position vary with weight.
• Conditional Settings: A larger icon appears if global conditions are met. For instance, with a Threshold(⥇) of 12, Signal Period (SP) of 3, and Scoring Condition (SC) set to "EVERY", a Donchian channels signaling over two times in 3 candles (scoring 6 each) triggers a larger icon.
█ USAGE OF CONNECTABLE INDICATORS
■ Connectable chaining mechanism
Connectable indicators can be connected directly to the signal monitor, signal filter or strategy , or they can be daisy chained to each other while the last indicator in the chain connects to the signal monitor, signal filter or strategy. When using a signal filter you can chain the filter to the strategy input to make your chain complete.
• Direct chaining: Connect an indicator directly to the signal monitor, signal filter or strategy through the provided inputs (→).
• Daisy chaining: Connect indicators using the indicator input (→). The first in a daisy chain should have a flow (⌥) set to 'Indicator only'. Subsequent indicators use 'Both' to pass the previous weight. The final indicator connects to the signal monitor, signal filter, or strategy.
■ Set up this indicator with a signal filter and strategy
The indicator provides visual cues based on signal conditions. However, its weight system is best utilized when paired with a connectable signal filter, signal monitor, or strategy .
Let's connect the Donchian channels to a connectable signal filter and a strategy :
1. Load all relevant indicators
• Load Donchian channels / Connectable
• Load Signal filter / Connectable
• Load Strategy / Connectable
2. Signal Filter: Connect the Donchian channels to the Signal Filter
• Open the signal filter settings
• Choose one of the three input dropdowns (1→, 2→, 3→) and choose : Donchian channels / Connectable: Signal Connector
• Toggle the enable box before the connected input to enable the incoming signal
3. Signal Filter: Update the filter signals settings if needed
• The default settings of the filter enable EL (Enter Long), XL (Exit Long), ES (Enter Short) and XS (Exit Short).
4. Signal Filter: Update the weight threshold settings if needed
• All connectable indicators load by default with a score of 6 for each direction (EL, XL, ES, XS)
• By default, weight threshold (TH) is set at 5. This allows each occurrence to score, as the default score in each connectable indicator is 1 point above the threshold. Adjust to your liking.
5. Strategy: Connect the strategy to the signal filter in the strategy settings
• Select a strategy input → and select the Signal filter: Signal connector
6. Strategy: Enable filter compatible directions
• Set the signal mode of the strategy to a compatible direction with the signal filter.
Now that everything is connected, you'll notice green spikes in the signal filter representing long signals, and red spikes indicating short signals. Trades will also appear on the chart, complemented by a performance overview. Your journey is just beginning: delve into different scoring mechanisms, merge diverse connectable indicators, and craft unique chains. Instantly test your results and discover the potential of your configurations. Dive deep and enjoy the process!
█ BENEFITS
• Adaptable Modular Design: Arrange indicators in diverse structures via direct or daisy chaining, allowing tailored configurations to align with your analysis approach.
• Streamlined Backtesting: Simplify the iterative process of testing and adjusting combinations, facilitating a smoother exploration of potential setups.
• Intuitive Interface: Navigate TradingView with added ease. Integrate desired indicators, adjust settings, and establish alerts without delving into complex code.
• Signal Weight Precision: Leverage granular weight allocation among signals, offering a deeper layer of customization in strategy formulation.
• Advanced Signal Filtering: Define entry and exit conditions with more clarity, granting an added layer of strategy precision.
• Clear Visual Feedback: Distinct visual signals and cues enhance the readability of charts, promoting informed decision-making.
• Standardized Defaults: Indicators are equipped with universally recognized preset settings, ensuring consistency in initial setups across different types like momentum or volatility.
• Reliability: Our indicators are meticulously developed to prevent repainting. We strictly adhere to TradingView's coding conventions, ensuring our code is both performant and clean.
█ COMPATIBLE INDICATORS
Each indicator that incorporates our open-source 'azLibConnector' library and adheres to our conventions can be effortlessly integrated and used as detailed above.
For clarity and recognition within the TradingView platform, we append the suffix ' / Connectable' to every compatible indicator.
█ COMMON MISTAKES, CLARIFICATIONS AND TIPS
• Removing an indicator from a chain: Deleting a linked indicator and confirming the "remove study tree" alert will also remove all underlying indicators in the object tree. Before removing one, disconnect the adjacent indicators and move it to the object stack's bottom.
• Point systems: The azLibConnector provides 500 points for each direction (EL: Enter long, XL: Exit long, ES: Enter short, XS: Exit short) Remember this cap when devising a point structure.
• Flow misconfiguration: In daisy chains the first indicator should always have a flow (⌥) setting of 'indicator only' while other indicator should have a flow (⌥) setting of 'both'.
• Hide attributes: As connectable indicators send through quite some information you'll notice all the arguments are taking up some screenwidth and cause some visual clutter. You can disable arguments in Chart Settings / Status line.
• Layout and abbreviations: To maintain a consistent structure, we use abbreviations for each input. While this may initially seem complex, you'll quickly become familiar with them. Each abbreviation is also explained in the inline tooltips.
• Inputs: Connecting a connectable indicator directly to the strategy delivers the raw signal without a weight threshold, meaning every signal will trigger a trade.
█ A NOTE OF GRATITUDE
Through years of exploring TradingView and Pine Script, we've drawn immense inspiration from the community's knowledge and innovation. Thank you for being a constant source of motivation and insight.
█ RISK DISCLAIMER
Azullian's content, tools, scripts, articles, and educational offerings are presented purely for educational and informational uses. Please be aware that past performance should not be considered a predictor of future results.
Donchian Channel Trend MeterInspired by the Chande Trend Meter (this is not the Chande Trend Meter), this indicator aims to show the trend so you can make trading decisions accordingly. This is calculated by looking at Donchian Channels over a number of lengths (20, 40, 60 periods, etc.), converting them to percent, and then applying a weighting and smoothing similar to the Know Sure Thing Indicator. This results in smooth trend line that is not disturbed by large fluctuations in price action.
When the line is below 20%, you have a strong down trend. Values between 20 - 40% are a weak down trend. Values between 40 - 60% are no trend (slightly bullish or bearish if above or below 50%). Similarly, 60 - 80% is a weak uptrend, and above 80% is a strong uptrend. Trade signals can be turned on or off that correspond to crosses over 50%. It can be useful in spotting divergence.
Ichimoku Clouds Strategy Long and ShortOverview:
The Ichimoku Clouds Strategy leverages the Ichimoku Kinko Hyo technique to offer traders a range of innovative features, enhancing market analysis and trading efficiency. This strategy is distinct in its combination of standard methodology and advanced customization, making it suitable for both novice and experienced traders.
Unique Features:
Enhanced Interpretation: The strategy introduces weak, neutral, and strong bullish/bearish signals, enabling detailed interpretation of the Ichimoku cloud and direct chart plotting.
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Dual Trading Modes: Long and Short modes are available, allowing alignment with market trends.
Flexible Risk Management: Offers three styles in each mode, combining fixed risk management with dynamic indicator states for versatile trade management.
Indicator Line Plotting: Enables plotting of Ichimoku indicator lines on the chart for visual decision-making support.
Methodology:
The strategy utilizes the standard Ichimoku Kinko Hyo model, interpreting indicator values with settings adjustable through a user-friendly menu. This approach is enhanced by TradingView's built-in strategy tester for customization and market selection.
Risk Management:
Our approach to risk management is dynamic and indicator-centric. With data from the last year, we focus on dynamic indicator states interpretations to mitigate manual setting causing human factor biases. Users still have the option to set a fixed stop loss and/or take profit per position using the corresponding parameters in settings, aligning with their risk tolerance.
Backtest Results:
Operating window: Date range of backtests is 2023.01.01 - 2024.01.04. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Maximum Single Position Loss: -6.29%
Maximum Single Profit: 22.32%
Net Profit: +10 901.95 USDT (+109.02%)
Total Trades: 119 (51.26% profitability)
Profit Factor: 1.775
Maximum Accumulated Loss: 4 185.37 USDT (-22.87%)
Average Profit per Trade: 91.67 USDT (+0.7%)
Average Trade Duration: 56 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. Backtest is calculated using deep backtest option in TradingView built-in strategy tester
How to Use:
Add the script to favorites for easy access.
Apply to the desired chart and timeframe (optimal performance observed on the 1H chart, ForEx or cryptocurrency top-10 coins with quote asset USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Donchian Channels %I enjoy Donchian Channels for identifying trends. However, I hate having them on my chart. They are next to impossible to interpret at a glance. This script converts DCs to a % making a useful oscillator. The horizontal lines on the chart correspond to the Fib retracements below 50%. There are many ways to trade using this script and it works on any time frame. Moving average crosses are worth your attention, particularly, the 34 period MA (purple line). Enjoy and happy trading.
DNA GRAVITY PRICE V1 PINESCRIPTLABSWe can observe that this indicator displays the range within which the asset fluctuates around the average price, and its behavior depends on the parameters of amplitude and angular frequency. "price_mas" is a measure calculated as part of the indicator. It is derived by adding an adjusted amplitude (A_mas) multiplied by the cosine of the combination of angular frequency (w), time, and a phase shift (phi) to the average price (P0). This calculated value oscillates around the actual asset price and is used to identify potential turning points and the range where the price has established itself within the specified lookback period.
2.- At its core, the indicator utilizes the innovative concept of 'price_mas,' a calculated metric visualized in three essential colors: green to indicate low levels, blue for medium levels, and red for high levels. These colors reflect the position of the price in relation to a range determined by historical highs and lows.
In the context of the "DNA GRAVITY PRICE V1 " indicator, low, medium, and high levels specifically refer to the calculated value of 'price_mas,' which is a derived measure within the indicator. They do not directly refer to the actual asset price but rather to a calculated value that the indicator uses to analyze and predict the behavior of the asset's price.
This algorithm stands out for its ability to capture the 'strength' of the price through the 'price_mas' zones. Once the price exits the zones marked by the 'price_mas' (red, blue, and green plots), it tends to return with significant force.
Buy & Sell Signals:
Buy Signal: If the price and the Donchian lines cross above the high threshold, visually represented by red diamonds, it indicates a strong bullish momentum. This not only shows that the price is rising but also that the trend is strong enough to push the Donchian lines, which represent price extremes over a certain period, above the threshold. This convergence of movements, marked by the crossing over the red diamonds, suggests a higher probability of the bullish trend continuing.
Sell Signal: Similarly, if the price and the Donchian lines fall below the low threshold, visualized as green diamonds, this signals a significant bearish momentum. The simultaneous decline of the price and the Donchian lines below this threshold, marked by the green diamonds, indicates that not only is the price decreasing, but the bearish trend is strong enough to influence the price extremes calculated by the Donchian lines.
Configuration:
-The "Initial Dynamic Length of MAS Price" parameter controls the smoothness and sensitivity of the indicator. A high value smooths the Simple Moving Average (SMA), making the indicator less responsive to short-term price fluctuations. On the other hand, a low value makes the indicator more sensitive to short-term price fluctuations, generating faster and more volatile signals
-This parameter, "MAS Amplitude Percentage," determines the amplitude as a percentage. Increasing the Initial Dynamic Price will result in a larger amplitude relative to the price, leading to wider ranges for the indicator. Decreasing this value will have the opposite effect, reducing the amplitude relative to the price. Increasing "A_mas_pct" can make signals more extreme and less frequent, while decreasing it will make signals smoother and more frequent.
-This parameter, "Angular Frequency of MAS," affects the frequency of oscillations in the calculation of the "Initial Dynamic Price." A higher value of "w" will make the oscillations faster and more frequent, which means that the indicator will be more responsive to abrupt price changes. Conversely, a lower value will make the oscillations slower and smoother, making the indicator less sensitive to rapid price changes. Modifying ""Angular Frequency of MAS,"" directly impacts the frequency of oscillations in the indicator.
Español:
Podemos observar que este indicador muestra el rango en el cual el activo fluctúa alrededor del precio promedio y su comportamiento depende de los parámetros de amplitud y frecuencia angular. "price_mas" es una medida calculada como parte del indicador. Se deriva al sumar una amplitud ajustada (A_mas) multiplicada por el coseno de la combinación de frecuencia angular (w), tiempo y un desplazamiento de fase (phi) al precio promedio (P0). Este valor calculado oscila alrededor del precio real del activo y se utiliza para identificar posibles puntos de giro y el rango donde el precio se ha establecido dentro del período de búsqueda especificado.
En su núcleo, el indicador utiliza el innovador concepto de 'price_mas', una métrica calculada visualizada en tres colores esenciales: verde para indicar niveles bajos, azul para niveles medios y rojo para niveles altos. Estos colores reflejan la posición del precio en relación con un rango determinado por los máximos y mínimos históricos.
En el contexto del indicador "DNA GRAVITY PRICE V1", los niveles bajos, medios y altos se refieren específicamente al valor calculado de 'price_mas', que es una medida derivada dentro del indicador. No se refieren directamente al precio real del activo, sino a un valor calculado que el indicador utiliza para analizar y predecir el comportamiento del precio del activo.
Este algoritmo se destaca por su capacidad para capturar la 'fortaleza' del precio a través de las zonas de 'price_mas'. Una vez que el precio sale de las zonas marcadas por 'price_mas' (trazas rojas, azules y verdes), tiende a regresar con una fuerza significativa. Este comportamiento es crucial para los operadores, ya que proporciona oportunidades tanto para capitalizar las retracciones de precios como para anticipar posibles cambios de tendencia.
Señales de Compra y Venta:
Señal de Compra: Si el precio y las líneas Donchian cruzan por encima del umbral alto, visualmente representado por diamantes rojos, indica un fuerte impulso alcista. Esto no solo muestra que el precio está aumentando, sino que la tendencia es lo suficientemente fuerte como para empujar las líneas Donchian, que representan los extremos de precio durante un período determinado, por encima del umbral. Esta convergencia de movimientos, marcada por el cruce sobre los diamantes rojos, sugiere una mayor probabilidad de que la tendencia alcista continúe.
Señal de Venta: De manera similar, si el precio y las líneas Donchian caen por debajo del umbral bajo, visualizado como diamantes verdes, esto señala un fuerte impulso bajista. La caída simultánea del precio y las líneas Donchian por debajo de este umbral, marcada por los diamantes verdes, indica que no solo el precio está disminuyendo, sino que la tendencia bajista es lo suficientemente fuerte como para influir en los extremos de precio calculados por las líneas Donchian.
Configuración:
El parámetro "Longitud Dinámica Inicial de MAS Price" controla la suavidad y la sensibilidad del indicador. Un valor alto suaviza el Promedio Móvil Simple (SMA), lo que hace que el indicador sea menos sensible a las fluctuaciones de precio a corto plazo. Por otro lado, un valor bajo hace que el indicador sea más sensible a las fluctuaciones de precio a corto plazo, generando señales más rápidas y volátiles.
Este parámetro, "Porcentaje de Amplitud de MAS," determina la amplitud como un porcentaje. Aumentar el valor de "Longitud Dinámica Inicial de MAS Price" dará como resultado una amplitud más grande en relación con el precio, lo que conducirá a rangos más amplios para el indicador. Disminuir este valor tendrá el efecto contrario, reduciendo la amplitud en relación con el precio. Aumentar "Porcentaje de A_mas" puede hacer que las señales sean más extremas y menos frecuentes, mientras que disminuirlo hará que las señales sean más suaves y más frecuentes.
Este parámetro, "Frecuencia Angular de MAS," afecta la frecuencia de las oscilaciones en el cálculo del "Precio Móvil Simple Inicial." Un valor más alto de "w" hará que las oscilaciones sean más rápidas y frecuentes, lo que significa que el indicador será más receptivo a cambios abruptos en el precio. Por otro lado, un valor más bajo hará que las oscilaciones sean más lentas y suaves, haciendo que el indicador sea menos sensible a cambios rápidos en el precio. Modificar "Frecuencia Angular de MAS" afecta directamente la frecuencia de las oscilaciones en el indicador.
Optimal Length BackTester [YinYangAlgorithms]This Indicator allows for a ‘Optimal Length’ to be inputted within the Settings as a Source. Unlike most Indicators and/or Strategies that rely on either Static Lengths or Internal calculations for the length, this Indicator relies on the Length being derived from an external Indicator in the form of a Source Input.
This may not sound like much, but this application may allows limitless implementations of such an idea. By allowing the input of a Length within a Source Setting you may have an ‘Optimal Length’ that adjusts automatically without the need for manual intervention. This may allow for Traditional and Non-Traditional Indicators and/or Strategies to allow modifications within their settings as well to accommodate the idea of this ‘Optimal Length’ model to create an Indicator and/or Strategy that adjusts its length based on the top performing Length within the current Market Conditions.
This specific Indicator aims to allow backtesting with an ‘Optimal Length’ inputted as a ‘Source’ within the Settings.
This ‘Optimal Length’ may be used to display and potentially optimize multiple different Traditional Indicators within this BackTester. The following Traditional Indicators are included and available to be backtested with an ‘Optimal Length’ inputted as a Source in the Settings:
Moving Average; expressed as either a: Simple Moving Average, Exponential Moving Average or Volume Weighted Moving Average
Bollinger Bands; expressed based on the Moving Average Type
Donchian Channels; expressed based on the Moving Average Type
Envelopes; expressed based on the Moving Average Type
Envelopes Adjusted; expressed based on the Moving Average Type
All of these Traditional Indicators likewise may be displayed with multiple ‘Optimal Lengths’. They have the ability for multiple different ‘Optimal Lengths’ to be inputted and displayed, such as:
Fast Optimal Length
Slow Optimal Length
Neutral Optimal Length
By allowing for the input of multiple different ‘Optimal Lengths’ we may express the ‘Optimal Movement’ of such an expressed Indicator based on different Time Frames and potentially also movement based on Fast, Slow and Neutral (Inclusive) Lengths.
This in general is a simple Indicator that simply allows for the input of multiple different varieties of ‘Optimal Lengths’ to be displayed in different ways using Tradition Indicators. However, the idea and model of accepting a Length as a Source is unique and may be adopted in many different forms and endless ideas.
Tutorial:
You may add an ‘Optimal Length’ within the Settings as a ‘Source’ as followed in the example above. This Indicator allows for the input of a:
Neutral ‘Optimal Length’
Fast ‘Optimal Length’
Slow ‘Optimal Length’
It is important to account for all three as they generally encompass different min/max length values and therefore result in varying ‘Optimal Length’s’.
For instance, say you’re calculating the ‘Optimal Length’ and you use:
Min: 1
Max: 400
This would therefore be scanning for 400 (inclusive) lengths.
As a general way of calculating you may assume the following for which lengths are being used within an ‘Optimal Length’ calculation:
Fast: 1 - 199
Slow: 200 - 400
Neutral: 1 - 400
This allows for the calculation of a Fast and Slow length within the predetermined lengths allotted. However, it likewise allows for a Neutral length which is inclusive to all lengths alloted and may be deemed the ‘Most Accurate’ for these reasons. However, just because the Neutral is inclusive to all lengths, doesn’t mean the Fast and Slow lengths are irrelevant. The Fast and Slow length inputs may be useful for seeing how specifically zoned lengths may fair, and likewise when they cross over and/or under the Neutral ‘Optimal Length’.
This Indicator features the ability to display multiple different types of Traditional Indicators within the ‘Display Type’.
We will go over all of the different ‘Display Types’ with examples on how using a Fast, Slow and Neutral length would impact it:
Simple Moving Average:
In this example above have the Fast, Slow and Neutral Optimal Length formatted as a Slow Moving Average. The first example is on the 15 minute Time Frame and the second is on the 1 Day Time Frame, demonstrating how the length changes based on the Time Frame and the effects it may have.
Here we can see that by inputting ‘Optimal Lengths’ as a Simple Moving Average we may see moving averages that change over time with their ‘Optimal Lengths’. These lengths may help identify Support and/or Resistance locations. By using an 'Optimal Length' rather than a static length, we may create a Moving Average which may be more accurate as it attempts to be adaptive to current Market Conditions.
Bollinger Bands:
Bollinger Bands are a way to see a Simple Moving Average (SMA) that then uses Standard Deviation to identify how much deviation has occurred. This Deviation is then Added and Subtracted from the SMA to create the Bollinger Bands which help Identify possible movement zones that are ‘within range’. This may mean that the price may face Support / Resistance when it reaches the Outer / Inner bounds of the Bollinger Bands. Likewise, it may mean the Price is ‘Overbought’ when outside and above or ‘Underbought’ when outside and below the Bollinger Bands.
By applying All 3 different types of Optimal Lengths towards a Traditional Bollinger Band calculation we may hope to see different ranges of Bollinger Bands and how different lookback lengths may imply possible movement ranges on both a Short Term, Long Term and Neutral perspective. By seeing these possible ranges you may have the ability to identify more levels of Support and Resistance over different lengths and Trading Styles.
Donchian Channels:
Above you’ll see two examples of Machine Learning: Optimal Length applied to Donchian Channels. These are displayed with both the 15 Minute Time Frame and the 1 Day Time Frame.
Donchian Channels are a way of seeing potential Support and Resistance within a given lookback length. They are a way of withholding the High’s and Low’s of a specific lookback length and looking for deviation within this length. By applying a Fast, Slow and Neutral Machine Learning: Optimal Length to these Donchian Channels way may hope to achieve a viable range of High’s and Low’s that one may use to Identify Support and Resistance locations for different ranges of Optimal Lengths and likewise potentially different Trading Strategies.
Envelopes / Envelopes Adjusted:
Envelopes are an interesting one in the sense that they both may be perceived as useful; however we deem that with the use of an ‘Optimal Length’ that the ‘Envelopes Adjusted’ may work best. We will start with examples of the Traditional Envelope then showcase the Adjusted version.
Envelopes:
As you may see, a Traditional form of Envelopes even produced with a Machine Learning: Optimal Length may not produce optimal results. Unfortunately this may occur with some Traditional Indicators and they may need some adjustments as you’ll notice with the ‘Envelopes Adjusted’ version. However, even without the adjustments, these Envelopes may be useful for seeing ‘Overbought’ and ‘Oversold’ locations within a Machine Learning: Optimal Length standpoint.
Envelopes Adjusted:
By adding an adjustment to these Envelopes, we may hope to better reflect our Optimal Length within it. This is caused by adding a ratio reflection towards the current length of the Optimal Length and the max Length used. This allows for the Fast and Neutral (and potentially Slow if Neutral is greater) to achieve a potentially more accurate result.
Envelopes, much like Bollinger Bands are a way of seeing potential movement zones along with potential Support and Resistance. However, unlike Bollinger Bands which are based on Standard Deviation, Envelopes are based on percentages +/- from the Simple Moving Average.
We will conclude our Tutorial here. Hopefully this has given you some insight into how useful adding a ‘Optimal Length’ within an external (secondary) Indicator as a Source within the Settings may be. Likewise, how useful it may be for automation sake in the sense that when the ‘Optimal Length’ changes, it doesn’t rely on an alert where you need to manually update it yourself; instead it will update Automatically and you may reap the benefits of such with little manual input needed (aside from the initial setup).
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Donchian Trend SignalsThe Donchian Trend Signals is an indicator developed to help traders identify the current trend direction and potential liquidity grabs.
The usage of the indicator is very simple, on the chart you'll see a modified version of the classic and popular Donchian channel, calculated using the closing prices, that changes the color of the average middle line to indicate the direction of the current trend. The indicator also colors the candlestick.
Using the option "Complex Mode" will give your indicator additional data by changing the calculation method. These changes make the lines become the average between different lengths of the same Donchian channel formula.
Additionally, the indicator plots on the chart some buy or sell signals, displayed as diamonds above or below the candles. The signals are calculated to find potential liquidity grabs using the wicks, the true range of the candles, and the volume compared to his average value.
[KVA]Donchian Channel Percentage" The 'Donchian Channel Percentage ' (DC%) indicator, developed for TradingView’s Pine Script Version 5, is a unique tool designed to measure the current price’s position within the Donchian Channel. The Donchian Channel, a popular indicator in technical analysis, is defined by the highest high and the lowest low over a user-specified period.
Key Features :
User-Defined Period: Users can customize the lookback period (default 20 periods), allowing flexibility in different trading styles and timeframes.
Channel Calculation: The upper and lower bounds of the Donchian Channel are calculated based on the highest high and lowest low over the chosen period.
Percentage Calculation: DC% quantifies where the current price lies within the channel, presented as a percentage. A value of 0% indicates the price at the channel's low, and 100% signifies the price at the high.
Visualization: The DC% is plotted as a line graph, providing a clear visual representation of the price’s relative position. The indicator includes horizontal lines at 0% and 100%, marked in red and green, respectively, to depict the channel's boundaries.
Market Analysis Tool: DC% offers insights into market trends and potential overbought or oversold conditions, making it a valuable addition for traders who focus on channel-based strategies.
Applications :
The DC% is particularly useful for identifying breakout scenarios and potential reversals.
Traders can use this tool in conjunction with other indicators to enhance their market analysis, especially in strategies that capitalize on price extremes within a defined range.
In summary, the Donchian Channel Percentage offers traders a simple yet powerful tool to gauge the current price’s position within a historical high-low range. Its adaptability across various assets and timeframes makes it a versatile addition to any technical trader’s toolkit."
[OKX Signal Bot] Indicator Script Set Up TemplateDiscover the power of the Turtle Trade Channels Indicator (TUTCI), an innovative tool that integrates the time-tested principles of the legendary Turtle Trade system. This groundbreaking system shattered the belief that successful traders are born, not made, by transforming ordinary individuals into profitable traders.
The Turtle Trade Experiment, which achieved a remarkable 80% annual return over four years and amassed a staggering $150 million, showcased the immense potential of this trend-following strategy. Unlike the conventional "buy low and sell high" approach, the Turtle Trade system embraces a different philosophy—one of capturing substantial profits by following prevailing trends.
At the heart of the Turtle Trade Channels Indicator lies the concept of Donchian Channels, a powerful technical indicator developed by Richard Donchian. Building upon this foundation, the main rule of TUTCI is to identify 20-day breakouts and capitalize on them, while simultaneously utilizing a profit-taking strategy based on breaching 10-day highs or lows.
For long trades, the indicator signals a buying opportunity when the price breaks above the 20-day high. Conversely, for short trades, a selling opportunity arises when the price falls below the 20-day low. This systematic approach allows traders to align themselves with the prevailing momentum, capturing significant price movements.
To further enhance trading precision, TUTCI incorporates two key lines. The red line represents the trading line, indicating the direction of the trend. Price bars above the trend line suggest an uptrend, while those below indicate a downtrend. The dotted blue line serves as the exit line, guiding traders to close their positions when price action breaches the 10-day high or low. This rule safeguards profits and helps traders avoid potential trend reversals.
The Turtle Trade Channels Indicator (TUTCI) is a versatile tool applicable to various financial markets, including stocks, commodities, and forex. By harnessing the power of breakouts and integrating profit-taking rules, this indicator empowers traders to capitalize on favorable trading opportunities while managing risk effectively.
As with any trading strategy, it is crucial to conduct thorough backtesting and evaluation of the TUTCI system before implementing it in live trading. Traders can customize the indicator's parameters to align with their trading preferences and adapt to changing market conditions. Employing sound risk management techniques, such as position sizing and stop-loss orders, is paramount to protect capital and minimize potential losses.
Experience the transformational potential of the Turtle Trade Channels Indicator (TUTCI) and embark on a journey of trend following, capturing significant profits, and achieving trading success.
These scripts are only functioning as sample script templates to support okx alert standards. It is not intended to provide any investment, tax, or legal advice, nor should it be considered an offer to purchase, sell, hold or offer any services relating to digital assets. Digital assets, including stablecoins, involve a high degree of risk, can fluctuate greatly, and can even become worthless. You should carefully consider whether trading or holding digital assets is suitable for you in light of your financial condition and risk tolerance. OKX does not provide investment or asset recommendations. You are solely responsible for your investment decisions, and OKX is not responsible for any potential losses. Past performance is not indicative of future results. Please consult your legal/tax/investment professional for questions about your specific circumstances.
TASC 2023.08 Channeling Your Inner Chartist█ OVERVIEW
TASC's August 2023 edition of Traders' Tips features an article written by Stella Osoba titled “Using Price Channels.” The article offers a basic look at using price channels, with a primary focus on Donchian channels . Following the article, the script provides an example of how to calculate and utilize the Donchian channel to gain insights into the price behavior and potential trend movements.
█ CONCEPTS
The use of price channels is a long-standing and fundamental charting technique commonly associated with trend-following trading strategies. Price channels help identify the trend on the chart and facilitate trading in its direction. The Donchian channel, in particular, consists of three lines. The upper line is conventionally calculated as the highest high over a specified lookback period, while the lower line is defined as the lowest low over the same period. The central line represents the midpoint between the upper and lower lines.
The Donchian channel provides a simple and intuitive visual representation of price behavior. Breaking through the lower line, for instance, can indicate weakness and selling pressure, while breaking through the upper line can signal buying pressure. By observing these breakout points, one can gain insight into potential beginnings or endings of long-term trends. However, it is important to note that breakouts often lead to price reversals, so they should be carefully evaluated
█ CALCULATIONS
To illustrate a simple Donchian trading system, this script calculates and plots the channel lines, as well as potential entry points for long positions (green triangles) and short positions (red triangles).
Breakout FilterIntroduction:
The Breakout Filter is a technical analysis indicator designed to identify potential breakout trading opportunities in the financial markets. It combines breakout conditions based on price and volume with the visualization of Exponential Moving Average (EMA) lines. This indicator can be a valuable tool for traders seeking to capture breakout movements while utilizing EMA lines for additional trend analysis.
Indicator Overview:
The Breakout Filter consists of three main filters: Filter 1, Filter 2, and Filter 3. Each filter has its own set of conditions that need to be met for a breakout signal to be generated. Additionally, the indicator plots EMA lines on the chart to provide further insights into the market trend.
Filter 1: Price & Volume Breakout (Default symbol: Tiny Yellow Triangle)
Filter 1 focuses on identifying breakouts based on both price and volume criteria. It considers the following conditions:
- Price Breakout: The close price crosses above the Donchian Channel's middle line, indicating a potential upward breakout.
- Volume Breakout: The trading volume exceeds the moving average of volume, suggesting increased market participation during the breakout.
When both the price breakout and volume breakout conditions are met, Filter 1 generates a signal indicating a potential breakout in the market. This filter helps traders identify significant price movements accompanied by higher trading volumes.
Filter 2: Upper Band Breakout
Filter 2 specifically looks for breakouts above the upper band of the Donchian Channel. This condition suggests a potential strong upward momentum in the market. When the high price exceeds the upper band, Filter 2 generates a signal, indicating a breakout above the recent price range.
Filter 3: Combined Filter 1 and Filter 2
Filter 3 combines the conditions of both Filter 1 and Filter 2. It requires that both Filter 1 and Filter 2 generate signals simultaneously. When this happens, it indicates a strong breakout signal with price and volume confirming the upward momentum.
EMA Lines:
The Breakout Filter with EMA Lines also includes the visualization of Exponential Moving Average (EMA) lines on the chart. EMA is a popular technical indicator used to identify the overall trend in the market. The indicator plots three EMA lines with different periods: EMA1, EMA2, and EMA3. Traders can choose the periods for each EMA line based on their preference and trading strategy.
The EMA lines can provide additional insights into the market trend and potential support or resistance levels. By observing the interaction between the price and the EMA lines, traders can gain a better understanding of the prevailing market sentiment and make informed trading decisions.
How to screen these filters using Trading View Screener
Insert column "DONCHIAN20 UP" and set to "EQUAL HIGH"
Conclusion:
The Breakout Filter with EMA Lines is a comprehensive indicator that combines breakout conditions based on price and volume with the visualization of EMA lines. It helps traders identify potential breakout trading opportunities while providing insights into the market trend. By using this indicator, traders can enhance their trading strategies and potentially improve their trading outcomes.
Please note that this write-up is for informational purposes only and should not be considered as financial advice. Traders should conduct their own analysis and exercise caution when making trading decisions.
Donchian Volatility Indicator - Adaptive Channel WidthThis indicator is designed to help traders assess and analyze market volatility. By calculating the width of the Donchian channels, it provides valuable insights into the range of price movements over a specified period. This indicator helps traders identify periods of high and low volatility, enabling them to make more informed trading decisions.
The indicator is based on the concept of Donchian channels, which consist of the highest high and lowest low over a specified lookback period. The channel width is calculated as the difference between the upper and lower channels. A wider channel indicates higher volatility, suggesting potentially larger price movements and increased trading opportunities. On the other hand, a narrower channel suggests lower volatility, indicating a relatively calmer market environment with potentially fewer trading opportunities.
The adaptive aspect of the indicator refers to its ability to adjust the width of the channels dynamically based on market conditions. The indicator calculates the width of the channels using the Average True Range (ATR) indicator, which measures the average range of price movements over a specified period. By multiplying the ATR value with the user-defined ATR multiplier, the indicator adapts the width of the channels to reflect the current level of volatility. During periods of higher volatility, the channels expand to accommodate larger price movements, providing a broader range for assessing volatility. Conversely, during periods of lower volatility, the channels contract, reflecting the narrower price ranges and signaling a decrease in volatility. This adaptive nature allows traders to have a flexible and responsive measure of volatility, ensuring that the indicator reflects the current market conditions accurately.
To provide further insights, the indicator includes a signal line. The signal line is derived from the channel width and is calculated as a simple moving average over a specified signal period. This signal line acts as a reference level, allowing traders to compare the current channel width with the average width over a given time frame. By assessing whether the current channel width is above or below the signal line, traders can gain additional context on the volatility level in the market.
The colors used in the Donchian Volatility Indicator - Adaptive Channel Width play a vital role in visualizing the volatility levels:
-- Lime Color : When the channel width is above the signal line, it is colored lime. This color signifies that volatility has entered the market, indicating potentially higher price movements and increased trading opportunities. Traders can pay closer attention to the lime-colored channel width as it may suggest favorable conditions for trend-following or breakout trading strategies.
-- Fuchsia Color : When the channel width is below the signal line, it is colored fuchsia. This color represents relatively low volatility, suggesting a calmer market environment with potentially fewer trading opportunities. Traders may consider adjusting their strategies during periods of low volatility, such as employing range-bound or mean-reversion strategies.
-- Aqua Color : The signal line is represented by the aqua color. This color allows traders to easily identify the signal line amidst the channel width. The aqua color provides a visual reference for the average channel width and helps traders assess whether the current width is above or below this average.
The Donchian Volatility Indicator - Adaptive Channel Width has several practical applications for traders:
-- Volatility Assessment : Traders can use this indicator to assess the level of volatility in the market. By observing the width of the Donchian channels and comparing it to the signal line, they can determine whether the current volatility is relatively high or low. This information helps traders set appropriate expectations and adjust their trading strategies accordingly.
-- Breakout Trading : Wide channel widths may indicate an increased likelihood of price breakouts. Traders can use the Donchian Volatility Indicator - Adaptive Channel Width to identify potential breakout opportunities. When the channel width exceeds the signal line, it suggests a higher probability of significant price movements, potentially signaling a breakout. Traders may consider entering trades in the direction of the breakout.
-- Risk Management : The indicator can assist in setting appropriate stop-loss levels based on the current volatility. During periods of high volatility (lime-colored channel width), wider stop-loss orders may be warranted to account for larger price swings. Conversely, during periods of low volatility (fuchsia-colored channel width), narrower stop-loss orders may be appropriate to limit risk in a more range-bound market.
While the Donchian Volatility Indicator - Adaptive Channel Width is a valuable tool, it is important to consider its limitations:
-- Lagging Indicator : The indicator relies on historical price data, making it a lagging indicator. It provides insights based on past price movements and may not capture sudden changes or shifts in volatility. Traders should be aware that the indicator may not generate real-time signals and should be used in conjunction with other indicators and analysis tools.
-- False Signals : Like any technical indicator, the Donchian Volatility Indicator - Adaptive Channel Width is not immune to generating false signals. Traders should exercise caution and use additional analysis to confirm the signals generated by the indicator. Considering the broader market context and employing risk management techniques can help mitigate the impact of false signals.
-- Market Conditions : Market conditions can vary, and volatility levels can differ across different assets and timeframes. Traders should adapt their strategies and consider other market factors when interpreting the signals provided by the indicator. It is crucial to avoid relying solely on the indicator and to incorporate a comprehensive analysis of the market environment.
In conclusion, this indicator is a powerful tool for assessing market volatility. By examining the width of the Donchian channels and comparing it to the signal line, traders can gain insights into the level of volatility and adjust their trading strategies accordingly. The color-coded representation of the channel width and signal line allows for easy visualization and interpretation of the volatility dynamics. Traders should utilize this indicator as part of a broader trading approach, incorporating other technical analysis tools and considering market conditions for a comprehensive assessment of market volatility.
Donchian Channels [Gu5]█ OVERVIEW
I changed the design of the classic indicator "Donchian Channels", for easy reading.
█ CONCEPTS
Donchian Channels is an indicator made up of upper and lower bands around a mid-band or Basis.
The upper band marks the highest price of a security for N periods, while the lower band marks the lowest price of a security for N periods. The area between the upper and lower bands.
In this version, when there are new Higher High (HH), the trend is Bullish and the channel is painted green.
When there are new Lower Low (LL), the trend is Bearish and the channel is painted Red
█ OTHER SECTIONS
A plus in this script: When there are no new highs or new lows, there is no certain trend
The channel is painted yellow
www.tradingview.com
• HOW TO USE
Menu "Display"
• '■ Basis On/Off': Shows the midline Basis
• '■ Alert On/Off': Shows alerts labels
• '■ Fill On/Off': Paint the entire channel the color of the trend
• '■ Bar Color On/Off': Paint the candle the color of the trend
• '■ Close Alert On/Off': Shows alerts end of trend
• NOTES:
This code was written using the recommendations from the Pine Script™ User Manual's Style Guide
• RAMBLINGS:
You can use the "Basis" line as Trailing Stop.
• THANKS:
Donchian Channels developed by Richard Donchian
and many MANY thanks to @PineCoders
Turtle tradingA minimal breakout trend following indicator (Turtle trading). Entry is on the break of a Donchian channel and exit is on the reversal at a shorter-term Donchian channel (trailing stop).
Entry levels are hidden in an active trend, and only the active exit level is shown. Levels and entry/exit markers can be shown or hidden independently.
OBV-MACDThe OBV-MACD indicator is a momentum-based technical analysis tool that helps traders identify trend reversals and trend strength. This Pine script is an implementation of the OBV-MACD indicator that uses the On-Balance Volume (OBV) and Moving Average Convergence Divergence (MACD) indicators to provide a momentum data of OBV.
The OBV-MACD indicator uses the OBV to calculate the cumulative volume, which is then smoothed using two moving averages - fast and slow. The difference between these moving averages is plotted as a histogram, with a signal line plotted over it. A buy signal is generated when the histogram crosses above the signal line, indicating a bullish trend, while a sell signal is generated when the histogram crosses below the signal line, indicating a bearish trend.
This Pine script also includes an OBV-MACD-Donchian version that incorporates Donchian channels for the OBV-MACD. The Donchian channel is a technical analysis indicator that helps traders identify the highs and lows of an asset's price over a certain period. The OBV-MACD-Donchian version uses the OBV-MACD indicator along with the Donchian channels to provide signals that the momentum of OBV is making new high/low during that period of time.
Traders can customize the input parameters of the OBV-MACD indicator, such as the timeframe, method of calculation for the moving averages, and the lengths of the moving averages and breakout lengths. The colors of the plot can also be customized to suit the trader's preferences.
Reversal PointsHi , in this script i tried to find reversal points on big trends. For this purpose i have used Supertrend and Donchian channels. I combined both in a single indicator for finding reversal points. I am suggesting for using higher time frames like 4 hours or 1 day. It will be work in lower time frames too. But the signals will be less reliable than higher timeframes. Here is settings in this script:
New low sensitiity : this setting for donchian channels lookback. Bigger value result as less signals.
Atr Period: Period for Atr , it is for supertrend indicator in it.
Source: Source for supertrend indicator.
Atr Multiplier : Atr multiplier setting for Supertrend. Bigger value will be result as less signals.
Good luck.
Enes.
Bull Trend Filtered StochRSI (BTFS)Ride Bull Trends Via Stochastic with Special Rules for Heavy Bullish Bias
TLDR: Long Only Trend Indicator Where you are always entered Long if the stochastic is over the lower band line and the price is above the Donchian Chanel high. Exit when Stochastic RSI is below the lower band.
Indicators:
Filter = Trend/Bullish indicator is Donchian of ema(high) this is set as the highest ema(high, 6) in the last 30 candles. this can be adjusted to fit the market as desired.
**indicator prints green background when the filter condition is satisfied***
Entry Exit = enter when the Stoch RSI is above the given lower trend band. This value is set at 35 but can be adjusted according to risk tolerance and market conditions.
Logic:
this indicator allows a trader to be present during bullish/parabolic trends by only triggering if the close is > than the highest 6 candle average high over the last 30 candles. This filter requires the market to be in a generally bullish posture. If the market is in this condition the stochastic RSI indicator value offers a good gauge of price action and only goes significantly down if price trends below the average range of the rsi period. This filters out noise and keeps a trader from over trading on inconsequential corrections while responding fairly quickly to changes in general trend direction. the response is fast enough to produce an unprofitable amount of false signals if the bull market filter is not implemented. However when used in combination the signals return desirable results in bull trending markets.
Hope this Helps. Happy Trades.
-Snarky Puppy
Channel Based Zigzag [HeWhoMustNotBeNamed]🎲 Concept
Zigzag is built based on the price and number of offset bars. But, in this experiment, we build zigzag based on different bands such as Bollinger Band, Keltner Channel and Donchian Channel. The process is simple:
🎯 Derive bands based on input parameters
🎯 High of a bar is considered as pivot high only if the high price is above or equal to upper band.
🎯 Similarly low of a bar is considered as pivot low only if low price is below or equal to lower band.
🎯 Adding the pivot high/low follows same logic as that of regular zigzag where pivot high is always followed by pivot low and vice versa.
🎯 If the new pivot added is of same direction as that of last pivot, then both pivots are compared with each other and only the extreme one is kept. (Highest in case of pivot high and lowest in case of pivot low)
🎯 If a bar has both pivot high and pivot low - pivot with same direction as previous pivot is added to the list first before adding the pivot with opposite direction.
🎲 Use Cases
Can be used for pattern recognition algorithms instead of standard zigzag. This will help derive patterns which are relative to bands and channels.
Example: John Bollinger explains how to manually scan double tap using Bollinger Bands in this video: www.youtube.com This modified zigzag base can be used to achieve the same using algorithmic means.
🎲 Settings
Few simple configurations which will let you select the band properties. Notice that there is no zigzag length here. All the calculations depend on the bands.
With bands display, indicator looks something like this
Note that pivots do not always represent highest/lowest prices. They represent highest/lowest price relative to bands.
As mentioned many times, application of zigzag is not for buying at lower price and selling at higher price. It is mainly used for pattern recognition either manually or via algorithms. Lets build new Harmonic, Chart patterns, Trend Lines using the new zigzag?
