Boltzmann Weighted Moving average ( BWMA )Overview:
Introducing the Boltzmann Weighted Moving Average (BWMA) – a novel approach that draws inspiration from statistical mechanics to emphasize recent market data more than older data. By applying an exponential decay governed by a “temperature” parameter, BWMA provides a unique perspective on price trends and enhances noise filtering. An EMA-based smoothing is then applied for an even cleaner, more stable signal.
Key Features:
Boltzmann Weighting: The BWMA assigns weights to each data point based on a Boltzmann-like formula, giving more influence to recent bars and reducing the impact of older ones. This creates a dynamic, adaptive moving average that can quickly respond to market changes.
Adaptive Temperature Control: Users can adjust the “Temperature” (T) parameter. A lower T puts a stronger emphasis on the most recent data, while a higher T makes the weight distribution more uniform across the chosen period.
EMA Smoothing: After computing the weighted average, an EMA is applied to smooth out short-term noise, resulting in a cleaner trend indication.
Color-Coded Trend Indicator: The BWMA line changes color depending on its slope, allowing traders to quickly identify bullish (green) or bearish (red) conditions at a glance.
Parameters:
Period: Defines the lookback window over which the Boltzmann weights are calculated.
Temperature (T): Controls the steepness of the weight decay. Lower T emphasizes recency, while higher T spreads weights more evenly.
Alpha (Energy Scale): Adjusts how quickly “Energy” (and thus weight decay) increases with older data points.
Smoothing Period: Determines the EMA length for reducing noise after weighting, providing a more stable signal.
How It Works:
The BWMA calculates a weighted average of recent prices, where the weight for each data point i is given by:
weight = math.exp(-energy / (k_B * T))
Energy_i: Increases as the data point is further back in time.
k_B: A scaling constant, set to 1 for simplicity.
T: "Temperature" parameter that controls how quickly the weights decay. A lower T emphasizes more recent data strongly, while a higher T spreads out the emphasis more evenly.
Visuals:
BWMA Line: Plotted as a smooth line that changes color based on trend direction.
Green: BWMA is rising (bullish trend).
Red: BWMA is falling (bearish trend).
Usage:
The BWMA can be used similarly to traditional moving averages but offers greater flexibility and adaptability:
Adjust T and Alpha: Fine-tune the weighting profile to match your trading style, whether you prefer rapid response to recent changes or a more balanced view.
Trend Confirmation: Use color changes to confirm bullish or bearish momentum.
Filtering Noise: The combination of Boltzmann weighting and EMA smoothing can help reduce the impact of sudden price spikes and yield clearer trend signals.
By blending the concepts of statistical mechanics with classic technical analysis techniques, the Boltzmann Weighted Moving Average provides traders with an innovative tool for revealing underlying market trends.
Trendlineanalysis
Trend, Chart Patterns & Market Structure Indicator [TradeDots]The "Trend, Chart Patterns & Market Structure Indicator" is engineered to identify pivotal price action points, revealing shifts in market dynamics. This tool aids traders to simplify any trading market in recognizing significant price levels, enhancing decision-making in diverse market conditions.
📝 HOW IT WORKS
Pivot Identification
The indicator detects pivots in price action using a complex mathematical model by analyzing a window of candlesticks to capture significant reversal patterns. It examines a series of bars, focusing on their open, high, low, close, and changes in these values, to pinpoint potential market turning points.
Support and Resistance Lines
Calculation: Automatically draws lines at key price pivots in bullish and bearish markets.
Significance: Aligning support and resistance levels highlights strong demand or supply zones, reinforcing trading biases. When multiple lines converge near a price level, it indicates robust support or resistance, as many traders focus on these levels for placing trades.
Chart Patterns Analysis
Formation: Utilizes four pivots to identify patterns such as ascending/descending channels, contraction, and expansion patterns.
Visualization: Background colors (green for bullish, red for bearish) help identify market trends.
Market Structure Shifts
Detection: Identifies price breakouts above or below previous support and resistance, indicating changes in market structure.
Confirmation: Highlights shifts in market character, aiding in trend reversal anticipation.
Types of Market Structure Shifts
Channel Breakout: The price breaks out from the current channel's resistance level.
Rev. Breakout: The price breaks out from a contraction pattern, moving in the opposite direction of the previous market trend.
Continuation Breakout: The price breaks out from a contraction pattern, continuing the previous market trend.
Change of Character (ChoCh): The price breaks out from either support or resistance, causing a change in the market trend.
🛠️ HOW TO USE
Chart Visualization
Color Coding: Background colors signify market trends, with green indicating bullish and red indicating bearish conditions.
Pattern Recognition: Identifies and labels patterns, providing insights into current market sentiment.
Reversal Signals
Signal Labels: Detects shifts in market structure indicating potential entry and exit points.
❗️LIMITATIONS
Market Noise: Accuracy may decrease in volatile and noisy markets.
Trend Confirmation Delay: Market trends are only confirmed once the price breaks out from support or resistance, potentially causing delays.
RISK DISCLAIMER
Trading involves substantial risk, and most traders may incur losses. All content, tools, scripts, articles, and education provided by TradeDots are for informational and educational purposes only.
HMA Gaussian Volatility AdjustedOverview
The "HMA Gaussian Volatility Adjusted" indicator introduces a unique combination of HMA smoothing with a Gaussian filter and two components to measure volatility (Average True Range (ATR) and Standard Deviation (SD)). This tool provides traders with a stable and accurate measure of price trends by integrating a Gaussian Filter smoothed using HMA with a customized calculation of volatility. This innovative approach allows for enhanced sensitivity to market fluctuations while filtering out short-term price noise.
Technical Composition and Calculation
The "HMA Gaussian Volatility Adjusted" indicator incorporates HMA smoothing and dynamic standard deviation calculations to build upon traditional volatility measures.
HMA & Gaussian Smoothing:
HMA Calculation (HMA_Length): The script applies a Hull Moving Average (HMA) to smooth the price data over a user-defined period, reducing noise and helping focus on broader market trends.
Gaussian Filter Calculation (Length_Gaussian): The smoothed HMA data is further refined by putting it into a Gaussian filter to incorporate a normal distribution.
Volatility Measurement:
ATR Calculation (ATR_Length, ATR_Factor): The indicator incorporates the Average True Range (ATR) to measure market volatility. The user-defined ATR multiplier is applied to this value to calculate upper and lower trend bands around the Gaussian, providing a dynamic measure of potential price movement based on recent volatility.
Standard Deviation Calculation (SD_Length): The script calculates the standard deviation of the price over a user-defined length, providing another layer of volatility measurement. The upper and lower standard deviation bands (SDD, SDU) act as additional indicators of price extremes.
Momentum Calculation & Scoring
When the indicator signals SHORT:
Diff = Price - Upper Boundary of the Standard Deviation (calculated on a Gaussian filter).
When the indicator signals LONG:
Diff = Price - Upper Boundary of the ATR (calculated on a Gaussian filter).
The calculated Diff signals how close the indicator is to changing trends. An EMA is applied to the Diff to smooth the data. Positive momentum occurs when the Diff is above the EMA, and negative momentum occurs when the Diff is below the EMA.
Trend Detection
Trend Logic: The indicator uses the calculated bands to identify whether the price is moving within or outside the standard deviation and ATR bands. Crosses above or below these bands, combined with positive/negative momentum, signals potential uptrends or downtrends, offering traders a clear view of market direction.
Features and User Inputs
The "HMA Gaussian Volatility Adjusted" script offers a variety of user inputs to customize the indicator to suit traders' styles and market conditions:
HMA Length: Allows traders to adjust the sensitivity of the HMA smoothing to control the amount of noise filtered from the price data.
Gaussian Length: Users can define the length at which the Gaussian filter is applied.
ATR Length and Multiplier: These inputs let traders fine-tune the ATR calculation, affecting the size of the dynamic upper and lower bands to adjust for price volatility.
Standard Deviation Length: Controls how the standard deviation is calculated, allowing further customization in detecting price volatility.
EMA Confluence: This input lets traders determine the length of the EMA used to calculate price momentum.
Type of Plot Setting: Allows users to determine how the indicator signal is plotted on the chart (Background color, Trend Lines, BOTH (backgroung color and Trend Lines)).
Transparency: Provides users with customization of the background color's transparency.
Color Long/Short: Offers users the option to choose their preferred colors for both long and short signals.
Summary and Usage Tips
The "HMA Gaussian Volatility Adjusted" indicator is a powerful tool for traders looking to refine their analysis of market trends and volatility. Its combination of HMA smoothing, Gaussian filtering, and standard deviation analysis provides a nuanced view of market movements by incorporating various metrics to determine direction, momentum, and volatility. This helps traders make better-informed decisions. It's recommended to experiment with the various input parameters to optimize the indicator for specific needs.
Adaptive DEMA Momentum Oscillator (ADMO)Overview:
The Adaptive DEMA Momentum Oscillator (ADMO) is an open-source technical analysis tool developed to measure market momentum using a Double Exponential Moving Average (DEMA) and adaptive standard deviation. By dynamically combining price deviation from the moving average with normalized standard deviation, ADMO provides traders with a powerful way to interpret market conditions.
Key Features:
Double Exponential Moving Average (DEMA):
The core calculation of the indicator is based on DEMA, which is known for being more responsive to price changes compared to traditional moving averages. This makes the ADMO capable of capturing trend momentum effectively.
Standard Deviation Integration:
A normalized standard deviation is used to adaptively weight the oscillator. This makes the indicator more sensitive to market volatility, enhancing responsiveness during high volatility and reducing sensitivity during calmer periods.
Oscillator Representation:
The final oscillator value is derived from the combination of the DEMA-based Z-score and the normalized standard deviation. This final value is visualized as a color-coded histogram, reflecting bullish or bearish momentum.
Color-Coded Histogram:
Bullish Momentum: Values above zero are colored using a customizable bullish color (default: light green).
Bearish Momentum: Values below zero are colored using a customizable bearish color (default: red).
How It Works:
Inputs:
DEMA Length: Defines the period used for calculating the Double Exponential Moving Average. It can be adjusted from 1 to 200 to suit different trading styles.
Standard Deviation Length: Sets the lookback period for standard deviation calculations, which influences the responsiveness of the oscillator.
Standard Deviation Weight (StdDev Weight): Controls the weight given to the normalized standard deviation, allowing customization of the oscillator's sensitivity to volatility.
Calculation Steps:
Double Exponential Moving Average Calculation:
The DEMA is calculated using two exponential moving averages, which helps in reducing lag compared to a simple moving average.
Z-score Calculation:
The Z-score is derived by comparing the difference between the DEMA and its smoothed average (LSMA) to the standard deviation. This indicates how far the current value is from the mean in units of standard deviation.
Normalized Standard Deviation:
The standard deviation is normalized by subtracting the mean standard deviation and dividing by the standard deviation of the values. This helps to make the oscillator adaptive to recent changes in volatility.
Final Oscillator Value:
The final value is calculated by multiplying the Z-score with a factor based on the normalized standard deviation, resulting in a momentum indicator that adapts to different market conditions.
Visualization:
Histogram: The oscillator is plotted as a histogram, with color-coded bars showing the strength and direction of market momentum.
Positive (bullish) values are shown in green, indicating upward momentum.
Negative (bearish) values are shown in red, indicating downward momentum.
Zero Line: A zero line is plotted to provide a reference point, helping users quickly determine whether the current momentum is bullish or bearish.
Example Use Cases:
Momentum Identification:
ADMO helps identify the current market momentum by dynamically adapting to changes in market volatility. When the histogram is above zero and green, it indicates bullish conditions, whereas values below zero and red suggest bearish momentum.
Volatility-Adjusted Signals:
The normalized standard deviation weighting allows the ADMO to provide more reliable signals during different market conditions. This makes it particularly useful for traders who want to be responsive to market volatility while avoiding false signals.
Trend Confirmation and Divergence:
ADMO can be used to confirm the strength of a trend or identify potential divergences between price and momentum. This helps traders spot potential reversal points or continuation signals.
Summary:
The Adaptive DEMA Momentum Oscillator (ADMO) offers a unique approach by combining momentum analysis with adaptive standard deviation. The integration of DEMA makes it responsive to price changes, while the standard deviation adjustment helps it stay relevant in both high and low volatility environments. It's a versatile tool for traders who need an adaptive, momentum-based approach to technical analysis.
Feel free to explore the code and adapt it to your trading strategy. The open-source nature of this tool allows you to adjust the settings and visualize the output to fit your personal trading preferences.
TechniTrendMasterIntroducing "TechniTrendMaster"
The TechniTrendMaster indicator is designed to bring clarity and depth to your trading strategy. This indicator combines robust trend analysis with volume insights, giving you a comprehensive view of the market’s pulse. Let's break down the features.
🔵 Analysis Mode
TechniTrendMaster's Analysis Mode provides various configurations tailored to specific market behaviors. Here are the options you can utilize:
🔹Strong Movements: Focuses on powerful market shifts, ideal for capturing major trend changes and high-momentum moves. Perfect for identifying strong breakout opportunities.
🔹Reversal: Detects potential turning points in the market, signaling when a trend might be about to change direction, allowing for well-timed entries and exits.
🔹Consolidations: Spots periods of low volatility where the market moves sideways, helping you avoid trading traps and anticipate breakout scenarios.
🔹Momentum-Driven: Prioritizes momentum in the market, identifying when the force behind price movement is accelerating or decelerating.
🔹Balanced: Offers a well-rounded view of the market by weighing both trend direction and volume equally, making it suitable for stable market conditions.
🔹Volatility Adapted: Adjusts to periods of increased or decreased volatility, providing accurate signals regardless of market conditions.
🔹Trend Confirmation: Confirms the strength and sustainability of a trend, allowing traders to enter trades with higher confidence.
🔹Short-Term Scalping: Tailored for traders who focus on Short-Term and Scalp trades, offering rapid insights for intraday or short-term trading strategies.
🔵 Trend Analysis Mode
The Trend Analysis Mode allows you to customize how trends are detected and analyzed:
🔹Default: A balanced mode for general use, offering reliable trend identification across different market conditions.
🔹Aggressive: A more sensitive setting that reacts quickly to market changes, ideal for traders looking to capitalize on smaller, quicker movements.
🔹Conservative: Takes a cautious approach, favoring long-term stability over short-term fluctuations, perfect for risk-averse traders.
🔹Volatility Aware: Focuses on adapting to volatility shifts, giving accurate trend signals even in erratic markets.
🔹Range Bound: Targets horizontal price movements and channel trades, helping traders take advantage of well-defined ranges.
🔵 Divergence
Divergence is a powerful tool within TechniTrendMaster, highlighting discrepancies between price movement and underlying volume. These differences can indicate potential reversals or trend continuations before they are visible on price charts alone.
🔵 Hidden Divergence
Hidden divergence is a subtle yet crucial signal that reveals when an existing trend might resume after a temporary correction. This mode provides early detection of trend continuity opportunities, giving traders a significant advantage in timing.
🔵 Divergence Mode
TechniTrendMaster includes different divergence detection settings to suit your analysis style:
🔹Standard: Captures typical divergence patterns for general analysis.
🔹Short-Term Focused: Concentrates on short-lived divergences, offering rapid detection of shifts for active traders.
🔹Long-Term Analysis: Highlights divergence in a broader context, which is better for understanding the overall market direction.
🔹High Sensitivity: Prioritizes capturing even the smallest shifts in the market, making it excellent for high-frequency trading or volatile environments.
🔹Low Sensitivity: Reduces market noise, only reacting to more significant changes in trend or volume. It’s perfect for traders who seek higher accuracy with fewer false signals.
🔵 Dynamic Channel
TechniTrendMaster features a Dynamic Channel, that automatically adapts to market conditions. This channel provides a visual guide to price action, adjusting in real-time based on current trends and volatility. It identifies key support and resistance zones, making it easier to spot breakouts, trend continuations, or potential reversals.
🔵 Volume Integration
Volume is a critical part of TechniTrendMaster, offering deeper insights beyond just price movement. By analyzing volume patterns alongside trends, the indicator highlights the strength and reliability of market shifts. This integration ensures that traders can distinguish between genuine movements backed by solid volume and weak trends that might not hold.
🔵 A Solution for All Trading Styles
TechniTrendMaster’s strength lies in its versatility. No matter your trading approach—be it scalping, swing trading, trend following, or range trading—this indicator adapts to your needs. Here's how it caters to different trader profiles:
🔹Scalpers get precise, quick-response insights through the Short-Term Scalping and High Sensitivity settings, helping them capture minute price movements.
🔹Swing Traders benefit from modes like Reversal, Balanced, and Momentum-Driven, which focus on identifying trends and shifts that occur over several days.
🔹Long-Term Investors will find the Conservative, Low Sensitivity, and Long-Term Analysis modes ideal for filtering noise and sticking to broader market trends.
🔹Volatility Traders can rely on the Volatility Adapted and Volatility Aware options to get accurate signals even during unpredictable periods.
🔓 Unlock Access :
Check out the Author's Instructions or Dm me to Unlock the Access.
EMA Hierarchy Score V.1.0
EMA Hierarchy Score V.1.0
Purpose
The EMA Hierarchy Score indicator assesses the relative positioning of multiple Exponential Moving Averages (EMAs) for a financial asset. This tool provides insights into trend strength by calculating ideal and non-ideal configurations of EMAs, allowing for effective interpretation when used alongside standard EMA charts.
Variables and Inputs
The indicator organizes a set of EMAs and other metrics into a hierarchy for scoring:
* Primary Variables (A–J):
A: Close price
B: Open price
C: Previous close price
D to J: EMAs of configurable periods (5, 9, 13, 21, 26, 52, 100).
* User Inputs:
* Customizable periods for each EMA, allowing users to adjust the indicator’s sensitivity.
* Customizable period and standard deviation multiplier for Bollinger Bands, enabling further control over the indicator’s analysis.
Mathematical Method
The EMA Hierarchy Score calculates how closely the current EMA structure aligns with an “ideal” configuration through a structured scoring system:
1- Hierarchy Scoring:
* Ideal Order: Defined as A > B > C > D > E > F > G > H > I > J, representing a strong upward trend where each EMA progressively increases.
* Non-Ideal Order: Defined as J > I > H > G > F > E > D > C > B > A, indicating a weak or downward trend where each EMA progressively decreases.
* Optimal Order: Calculated based on achieving maximum alignment with the ideal configuration for each EMA across the chosen period.
* Sub-Optimal Order: The least-aligned structure across the same period.
2- Score Calculation:
* The indicator calculates a score by comparing all EMA pairs in values. For each comparison, a score increment of +1 (ideal) or -1 (non-ideal) is applied.
* The final score reflects the EMA configuration’s deviation from the ideal order:
- Positive Score: Indicates closer alignment with the ideal structure.
- Negative Score: Indicates deviation toward a non-ideal structure.
3- Smoothed and Signal Lines:
* A smoothed score is created using a Simple Moving Average (SMA) of the raw hierarchy score.
* A signal line (an SMA of the smoothed score) further aids in tracking directional shifts in the score.
4- Trend Labels and Bollinger Bands:
* Trend Labels: Display "UP" or "DOWN" based on the smoothed score’s relationship to the signal line.
* Bollinger Bands: Plotted around a selected source (smoothedLine, signalLine, or score) to analyze score volatility and deviations from the mean. The period and standard deviation multiplier for Bollinger Bands are user-configurable.
Result Definition
The Ideal and Non-Ideal Scores represent the upper and lower bounds of achievable configurations, ensuring the score does not exceed these values.
1- Ideal and Non-Ideal Result:
* Calculated based on how closely the current EMA configuration follows the “ideal” ascending or descending order.
* Ideal Score: Defined as +165, representing perfect alignment with the ideal configuration.
* Non-Ideal Score: Defined as -165, indicating full alignment with the descending, non-ideal structure.
* The score is bounded by these values and will not go above or below this range.
2- Optimal and Sub-Optimal Scores:
* Optimal Score: The highest score over the selected scoring period, calculated with the same period as the Bollinger Bands. Using consistent periods reinforces the reliability of the score by aligning with the period already used to gauge volatility.
* Sub-Optimal Score: The lowest score over the same period, capturing points of minimal alignment with the ideal order.
Interpretation and Analysis
1- Use with EMA Charts:
* This indicator is designed to be used alongside EMA charts, as its results provide insights into the relative order of EMAs and their alignment with trend strength.
* The EMA Hierarchy Score interprets the underlying EMA structure, offering additional context on whether current trends are aligned with optimal or non-optimal EMA configurations.
2- Ideal and Non-Ideal Analysis:
* A positive EMA Hierarchy Score indicates an orderly, ideal upward trend, suggesting stronger alignment with the ideal structure.
* A negative score signals a potential downward trend or deviation from the ideal structure.
3 - Trend Indicators and Bands:
* Trend Labels: The "UP" and "DOWN" labels offer real-time feedback on trend direction shifts, based on the smoothed score and signal line relationship.
* Bollinger Bands: Visualize the range of score fluctuations, helping to identify breakout or breakdown points.
4 - Optimal and Sub-Optimal Scores:
* Use the Optimal Score to understand peak trend alignment and Sub-Optimal Score to spot potential reversal or correction zones.
* A consistently high score over time indicates trend stability, while variations may suggest instability.
Quick Reference Table
The table displayed at the top right provides an at-a-glance view of key metrics:
* Ideal and Non-Ideal Score: Fixed at ±165 to represent the calculated ideal and non-ideal configuration.
* Optimal and Sub-Optimal Scores: Show maximum and minimum scores over the scoring period, color-coded green for positive and red for negative values.
This concise table helps users quickly assess indicator values, reducing the need to interpret multiple chart lines and making it easier to understand overall trend strength.
Disclaimer
The EMA Hierarchy Score V.1.0 is a technical analysis tool designed to assist in understanding the alignment and strength of trends as defined by EMA configurations. This indicator does not constitute investment advice, nor does it make specific recommendations for buying or selling assets. Users should consult with a financial advisor before making any trading decisions, as past performance or technical signals do not guarantee future results. The developers of this indicator disclaim all liability for potential financial losses arising from reliance on this tool. Users assume full responsibility for interpreting and applying the indicator’s outputs in their investment decisions.
TrendLines MTF [Cometreon]TrendLines MTF is a next-generation indicator designed to automatically detect and plot all relevant trendlines across any symbol and timeframe—including higher ones. Using advanced algorithms, it constantly scans price action and updates the chart in real-time, offering a fast, precise, and dynamic view of market structure.
This tool streamlines market analysis and boosts decision-making by eliminating the need for manual trendline drawing.
🔷 Key Features
🟩 Automatic Plotting
The indicator automatically draws and updates trendlines, providing a real-time overview of market trends.
🟩 Breakout and Bounce Signaling
Provides immediate notifications when a trendline is broken or the price bounces off it, allowing traders to react promptly to market changes.
🟩 Customization
Offers the ability to modify length, touches, colors, and line style to suit individual preferences.
🟩 Information Table
Includes a detailed table showing the values of all active trendlines, facilitating the monitoring of key market points.
🟩 Configurable Alerts
Allows setting custom alerts for breakouts, bounces, or creation of new trendlines.
🔷 Technical Details and Customizable Inputs
Trendline offers a range of customizable inputs that allow adapting the indicator to specific needs:
1️⃣ Trendline Type - Select between active trendlines, broken ones, both, or none.
2️⃣ Left and Right Length - Defines the extension of maximum and minimum points to identify Trendlines.
3️⃣ Timeframe - You can also modify the timeframe of Trendlines to display a higher timeframe.
4️⃣ Confirm at Timeframe - Allows you to confirm the Trendlines using the chart's timeframe instead of the selected one. This checks whether a candle has already broken the line previously.
5️⃣ Delete at Timeframe - Input to remove trendlines based on breakouts with chart candles, instead of using candles of a higher timeframe.
6️⃣ Touch Need - Sets the number of touches needed to confirm a Trendline.
7️⃣ Max Trend Line for Level - Limits the maximum number of Trendlines in a single level.
8️⃣ Extended Line After Break - Option to extend broken Trendlines by a specific value.
9️⃣ Session Range - The "Session Range" offers two options: select a specific date or a period relative to the last candle. The input allows choosing between "Choose" and "Pick Up".
With "Choose", you select a relative period, with two modes:
Last : shows the trendlines of the selected period, compatible with Replay.
Real Time : displays all TrendLines, searching from the last selected period.
Example: "1 Month" with "Last" shows the TrendLines from the previous month, while "Real Time" searches without time limits but uses the values from the last month. This allows defining the search depth of the indicator, crucial for computing power. In case of issues, use "Auto".
1️⃣0️⃣ Trendlines Style - Modify the style for each type of Trendlines (Valid, Break) including color, style, and line thickness.
1️⃣1️⃣ Trends Trendlines - Enable/disable two different trends:
Trend Bar Color : based on TrendLines breakouts. Breaking a bearish TrendLine results in a bullish trend, vice versa for breaking a bullish TrendLine.
Trend Background : based on the number of active TrendLines. For example, if the number of bullish TrendLines is greater than the "Strength", the trend will be bullish.
1️⃣2️⃣ Signal Style - You can enable or disable breakout and bounce signals, with customizable colors for each signal type.
1️⃣3️⃣ Alert - Set notifications for breakouts, bounces, or formation of new Trendlines.
1️⃣4️⃣ Table - Customize the table showing the values of all active trendlines, facilitating the monitoring of key market points. You can modify the appearance of the table, changing the color of cells and text.
These options allow you to optimize the indicator for different trading styles and market conditions, ensuring precise and personalized technical analysis.
🔍 How to Use Trendlines MTF
📌 Market Analysis
Use the displayed Trendlines as critical indicators of market dynamics to make informed trading decisions.
📈 Signal Interpretation
Leverage Trendline breakouts and bounces to identify potential trend changes and trading opportunities.
🛠 Strategy Integration
Use Trendlines and generated signals as a basis for creating personalized and innovative trading strategies.
☄️ With Trendlines, you can simplify your market analysis, saving time and improving the accuracy of your decisions with clearly visualized and customizable Trendlines.
Don't waste any more time and visit the link to get access to all Cometreon indicators.
Multi-Average Trend Indicator (MATI)[FibonacciFlux]Multi-Average Trend Indicator (MATI)
Overview
The Multi-Average Trend Indicator (MATI) is a versatile technical analysis tool designed for traders who aim to enhance their market insights and streamline their decision-making processes across various timeframes. By integrating multiple advanced moving averages, this indicator serves as a robust framework for identifying market trends, making it suitable for different trading styles—from scalping to swing trading.
MATI 4-hourly support/resistance
MATI 1-hourly support/resistance
MATI 15 minutes support/resistance
MATI 1 minutes support/resistance
Key Features
1. Diverse Moving Averages
- COVWMA (Coefficient of Variation Weighted Moving Average) :
- Provides insights into price volatility, helping traders identify the strength of trends in fast-moving markets, particularly useful for 1-minute scalping .
- DEMA (Double Exponential Moving Average) :
- Minimizes lag and quickly responds to price changes, making it ideal for capturing short-term price movements during volatile trading sessions .
- EMA (Exponential Moving Average) :
- Focuses on recent price action to indicate the prevailing trend, vital for day traders looking to enter positions based on current momentum.
- KAMA (Kaufman's Adaptive Moving Average) :
- Adapts to market volatility, smoothing out price action and reducing false signals, which is crucial for 4-hour day trading strategies.
- SMA (Simple Moving Average) :
- Provides a foundational view of the market trend, useful for swing traders looking at overall price direction over longer periods.
- VIDYA (Variable Index Dynamic Average) :
- Adjusts based on market conditions, offering a dynamic perspective that can help traders capture emerging trends.
2. Combined Moving Average
- The MATI's combined moving average synthesizes all individual moving averages into a single line, providing a clear and concise summary of market direction. This feature is especially useful for identifying trend continuations or reversals across various timeframes .
3. Dynamic Color Coding
- Each moving average is visually represented with color coding:
- Green indicates bullish conditions, while Red suggests bearish trends.
- This visual feedback allows traders to quickly assess market sentiment, facilitating faster decision-making.
4. Signal Generation and Alerts
- The indicator generates buy signals when the combined moving average crosses above its previous value, indicating a potential upward trend—ideal for quick entries in scalping.
- Conversely, sell signals are triggered when the combined moving average crosses below its previous value, useful for exiting positions or entering short trades.
Insights and Applications
1. Scalping on 1-Minute Charts
- The MATI excels in fast-paced environments, allowing scalpers to identify quick entry and exit points based on short-term trends. With dynamic signals and alerts, traders can react swiftly to price movements, maximizing profit potential in brief price fluctuations.
2. Day Trading on 4-Hour Charts
- For day traders, the MATI provides essential insights into intraday trends. By analyzing the combined moving average and its relation to individual moving averages, traders can make informed decisions on when to enter or exit positions, capitalizing on daily price swings.
3. Swing Trading on Daily Charts
- The MATI also serves as a valuable tool for swing traders. By evaluating longer-term trends through the combined moving average, traders can identify potential swing points and adjust their strategies accordingly. The flexibility of adjusting the lengths of the moving averages allows for tailored approaches based on market volatility.
Benefits
1. Clarity and Insight
- The combination of diverse moving averages offers a clear visual representation of market trends, aiding traders in making informed decisions across multiple timeframes.
2. Flexibility and Customization
- With adjustable parameters, traders can adapt the MATI to their specific strategies, making it suitable for various market conditions and trading styles.
3. Real-Time Alerts and Efficiency
- Built-in alerts minimize response times, allowing traders to capitalize on opportunities as they arise, regardless of their trading style.
Conclusion
The Multi-Average Trend Indicator (MATI) is an essential tool for traders seeking to enhance their technical analysis capabilities. By seamlessly integrating multiple moving averages with dynamic color coding and real-time alerts, this indicator provides a comprehensive approach to understanding market trends. Its versatility makes it an invaluable asset for scalpers, day traders, and swing traders alike.
Important Note
As with any trading tool, thorough analysis and risk management are crucial when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for market fluctuations.
Adaptive Fibonacci Trend Ribbon[FibonacciFlux]Adaptive Fibonacci Trend Ribbon (FibonacciFlux)
Overview
The Adaptive Fibonacci Trend Ribbon is a versatile technical analysis tool designed for traders who want to leverage the power of multiple moving averages while integrating Fibonacci numbers. This indicator provides a dynamic visual representation of market trends, enhancing decision-making processes in trading.
Key Features
1. Multi-Moving Averages
- The indicator calculates eight different moving averages based on user-defined periods, including Fibonacci numbers such as 5, 8, 13, 21, 34, 55, 89, and 144.
- Traders can choose from various moving average types, including EMA, HMA, WMA, VWMA, ALMA, SMA, RMA, and TMA , allowing for tailored analysis based on market conditions.
2. Trend Detection
- Each moving average is color-coded based on its trend direction, with green indicating an upward trend and red indicating a downward trend.
- This visual clarity helps traders quickly assess market sentiment and make informed decisions.
3. Fill Areas for Enhanced Insight
- The indicator features fill areas between the moving averages, which dynamically change color according to their relative positions.
- This provides a clear visual cue of trend strength and potential reversal points, allowing traders to identify key areas of interest.
4. Customizable Inputs
- Users can easily adjust the source data, moving average lengths, and ALMA parameters (offset and sigma) to fit their trading strategies.
- This flexibility ensures that traders can adapt the tool to various market conditions and personal preferences.
Insights and Applications
1. Fibonacci Integration
- By incorporating Fibonacci numbers into the moving average periods, this indicator allows traders to align their strategies with key levels of support and resistance.
- This can enhance the accuracy of entry and exit points, particularly in trending markets.
2. Trend Continuation and Reversal Analysis
- The adaptive nature of the moving averages provides insights into potential trend continuations or reversals.
- Traders can use the indicator to identify when to enter or exit positions based on the interaction between the moving averages.
3. Visual Clarity for Quick Decisions
- The color-coded moving averages and fill areas offer immediate visual feedback on market conditions, helping traders react swiftly to changing dynamics.
- This is especially useful in fast-moving markets where timely decisions are critical.
Conclusion
The Adaptive Fibonacci Trend Ribbon is an essential tool for traders looking to enhance their technical analysis capabilities. By combining multiple moving averages with Fibonacci integration and dynamic visual cues, this indicator offers a robust framework for understanding market trends. Its flexibility and clarity make it an invaluable asset for both novice and experienced traders alike.
Open Source Contribution
This indicator is open source, inviting contributions and improvements from the trading community. Feel free to fork, enhance, and share your insights with the world, helping to foster a collaborative environment for traders everywhere.
Multi Fibonacci Supertrend with Signals【FIbonacciFlux】Multi Fibonacci Supertrend with Signals (MFSS)
Overview
The Multi Fibonacci Supertrend with Signals (MFSS) is an advanced technical analysis tool that combines multiple Supertrend indicators using Fibonacci ratios to identify trend directions and potential trading opportunities.
Key Features
1. Fibonacci-Based Supertrend Levels
* Factor 1 (Weak) : 0.618 - The golden ratio
* Factor 2 (Medium) : 1.618 - The Fibonacci ratio
* Factor 3 (Strong) : 2.618 - The extension ratio
2. Visual Components
* Multi-layered Trend Lines
* Different line weights for easy identification
* Progressive transparency from Factor 1 to Factor 3
* Color-coded trend directions (Green for bullish, Red for bearish)
* Dynamic Fill Areas
* Gradient fills between price and trend lines
* Visual representation of trend strength
* Automatic color adjustment based on trend direction
* Signal Indicators
* Clear BUY/SELL labels on chart
* Position-adaptive signal placement
* High-visibility color scheme
3. Signal Generation Logic
The system generates signals based on two key conditions:
* Primary Condition :
* BUY : Price crossunder Supertrend2 (Factor 1.618)
* SELL : Price crossover Supertrend2 (Factor 1.618)
* Confirmation Filter :
* Signals only trigger when Supertrend3 confirms the trend direction
* Reduces false signals in volatile markets
Technical Details
Input Parameters
* ATR Period : 10 (default)
* Customizable for different market conditions
* Affects sensitivity of all Supertrend levels
* Factor Settings :
* All factors are customizable
* Default values based on Fibonacci sequence
* Minimum value: 0.01
* Step size: 0.01
Alert System
* Built-in alert conditions
* Customizable alert messages
* Real-time notification support
Use Cases
* Trend Trading
* Identify strong trend directions
* Filter out weak signals
* Confirm trend continuations
* Risk Management
* Multiple trend levels for stop-loss placement
* Clear entry and exit signals
* Trend strength visualization
* Market Analysis
* Multi-timeframe analysis capability
* Trend strength assessment
* Market structure identification
Benefits
* Reliability
* Based on proven Supertrend algorithm
* Enhanced with Fibonacci mathematics
* Multiple confirmation levels
* Clarity
* Clear visual signals
* Easy-to-interpret interface
* Reduced noise in signal generation
* Flexibility
* Customizable parameters
* Adaptable to different markets
* Suitable for various trading styles
Performance Considerations
* Optimized code structure
* Efficient calculation methods
* Minimal resource usage
Installation and Usage
Setup
* Add indicator to chart
* Adjust parameters if needed
* Enable alerts as required
Best Practices
* Use with other confirmation tools
* Adjust factors based on market volatility
* Consider timeframe appropriateness
Backtesting Results and Strategy Performance
This indicator is specifically designed for pullback trading with optimized risk-reward ratios in trend-following strategies. Below are the detailed backtesting results from our proprietary strategy implementation:
BTCUSDT Performance (Binance)
* Test Period: Approximately 7 years
* Risk-Reward Ratio: 2:1
* Take Profit: 8%
* Stop Loss: 4%
Key Metrics (BTCUSDT):
* Net Profit: +2,579%
* Total Trades: 551
* Win Rate: 44.8%
* Profit Factor: 1.278
* Maximum Drawdown: 42.86%
ETHUSD Performance (Binance)
* Risk-Reward Ratio: 4.33:1
* Take Profit: 13%
* Stop Loss: 3%
Key Metrics (ETHUSD):
* Net Profit: +8,563%
* Total Trades: 581
* Win Rate: 32%
* Profit Factor: 1.32
* Maximum Drawdown: 55%
Strategy Highlights:
* Optimized for pullback trading in strong trends
* Focus on high risk-reward ratios
* Proven effectiveness in major cryptocurrency pairs
* Consistent performance across different market conditions
* Robust profit factor despite moderate win rates
Note: These results are from our proprietary strategy implementation and should be used as reference only. Individual results may vary based on market conditions and implementation.
Important Considerations:
* The strategy demonstrates strong profitability despite lower win rates, emphasizing the importance of proper risk-reward ratios
* Higher drawdowns are compensated by significant overall returns
* The system shows adaptability across different cryptocurrencies with consistent profit factors
* Results suggest optimal performance in volatile crypto markets
Real Trading Examples
BTCUSDT 4-Hour Chart Analysis
Example of pullback strategy implementation on Bitcoin, showing clear trend definition and entry points
ETHUSDT 4-Hour Chart Analysis
Ethereum chart demonstrating effective signal generation during strong trends
BTCUSDT Detailed Signal Example (15-Minute Scalping)
Close-up view of signal generation and trend confirmation process on 15-minute timeframe, demonstrating the indicator's effectiveness for scalping operations
Chart Analysis Notes:
* Green and red zones clearly indicate trend direction
* Multiple timeframe confirmation visible through different Supertrend levels
* Clear entry signals during pullbacks in established trends
* Precise stop-loss placement opportunities below support levels
Implementation Guidelines:
* Wait for main trend confirmation from Factor 3 (2.618)
* Enter trades on pullbacks to Factor 2 (1.618)
* Use Factor 1 (0.618) for fine-tuning entry points
* Place stops below the relevant Supertrend level
Footnotes:
* Charts provided are from Binance exchange, using both 4-hour and 15-minute timeframes
* Trading view screenshots captured during actual market conditions
* Indicators shown: Multi Fibonacci Supertrend with all three factors
* Time period: Recent market activity showing various market conditions
Important Notice:
These charts are for educational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management.
Disclaimer
This indicator is for informational purposes only. Past performance is not indicative of future results. Always conduct proper risk management and due diligence.
License
Open source under MIT License
Author's Note
Contributions and suggestions for improvement are welcome. Please feel free to fork and enhance.
Stochastic Trendlines with Breakouts [Jamshid] - EnhancedStochastic Trendlines with Breakouts - Enhanced Version
This advanced Stochastic Trendlines with Breakouts script combines several powerful features to provide enhanced breakout detection based on the Stochastic Oscillator and additional confirmation signals. This script is designed to help traders identify key trend reversals, breakout points, and pivot levels with more accuracy by integrating advanced filters such as RSI confirmation, moving average trend filtering, volatility filtering, divergence detection, and multi-timeframe analysis.
Key Features:
Stochastic Oscillator-Based Breakouts:
Automatically detects breakouts based on the smoothed Stochastic Oscillator values (%K and %D), providing insights into overbought and oversold conditions.
Customizable overbought and oversold levels, with a mid-level (50) line for additional reference.
Trendlines on Pivot Points:
Automatically plots dynamic trendlines based on pivot highs and lows of the smoothed Stochastic %K, helping to visualize potential reversal points.
RSI Confirmation (Optional):
Filters breakout signals using the Relative Strength Index (RSI) to confirm breakouts only when the RSI is below 50 for downtrend breakouts and above 50 for uptrend breakouts.
Visual confirmation with a green "RSI Conf." label displayed on the chart when the RSI condition is met.
Moving Average Filter (Optional):
Confirms breakout signals in the direction of a user-defined Moving Average (MA) to trade in the overall market trend direction.
MA length is fully customizable.
Stochastic Divergence Filter (Optional):
Detects bullish or bearish divergence between the price and Stochastic Oscillator values, adding an extra layer of confirmation.
Multi-Timeframe Confirmation (Optional):
Confirms breakouts by checking the Stochastic %K and %D values from a higher timeframe. This helps in avoiding false signals by aligning with the broader market trend.
The higher timeframe can be customized to any timeframe (e.g., daily, weekly, etc.).
Volatility Filter (Optional):
Uses the ATR (Average True Range) to filter out breakouts during periods of low volatility, ensuring signals are only triggered when there is sufficient price movement.
ATR length and multiplier are fully customizable.
Custom Alerts:
Alerts are available for new trendline detections (both pivot high and pivot low) and for confirmed breakout signals. These alerts help traders stay informed in real-time without needing to monitor the chart continuously.
How to Use:
Customize the Stochastic Oscillator settings, such as %K smoothing and %D line parameters, to fit your trading strategy.
Enable or disable additional filtering features (RSI, MA, divergence, MTF, volatility) as needed.
Set up alerts for specific breakout conditions directly in TradingView to stay notified when breakout signals are triggered.
This script is designed for traders who are looking for precision breakout signals with added layers of confirmation to avoid false breakouts and enhance trading accuracy.
Volumatic Variable Index Dynamic Average [BigBeluga]The Volumatic VIDYA (Variable Index Dynamic Average) indicator is a trend-following tool that calculates and visualizes both the current trend and the corresponding buy and sell pressure within each trend phase. Using the Variable Index Dynamic Average as the core smoothing technique, this indicator also plots volume levels of lows and highs based on market structure pivot points, providing traders with key insights into price and volume dynamics.
Additionally, it generates delta volume values to help traders evaluate buy-sell pressure balance during each trend, making it a powerful tool for understanding market sentiment shifts.
BTC:
TSLA:
🔵 IDEA
The Volumatic VIDYA indicator's core idea is to provide a dynamic, adaptive smoothing tool that identifies trends while simultaneously calculating the volume pressure behind them. The VIDYA line, based on the Variable Index Dynamic Average, adjusts according to the strength of the price movements, offering a more adaptive response to the market compared to standard moving averages.
By calculating and displaying the buy and sell volume pressure throughout each trend, the indicator provides traders with key insights into market participation. The horizontal lines drawn from the highs and lows of market structure pivots give additional clarity on support and resistance levels, backed by average volume at these points. This dual analysis of trend and volume allows traders to evaluate the strength and potential of market movements more effectively.
🔵 KEY FEATURES & USAGE
VIDYA Calculation:
The Variable Index Dynamic Average (VIDYA) is a special type of moving average that adjusts dynamically to the market’s volatility and momentum. Unlike traditional moving averages that use fixed periods, VIDYA adjusts its smoothing factor based on the relative strength of the price movements, using the Chande Momentum Oscillator (CMO) to capture the magnitude of price changes. When momentum is strong, VIDYA adapts and smooths out price movements quicker, making it more responsive to rapid price changes. This makes VIDYA more adaptable to volatile markets compared to traditional moving averages such as the Simple Moving Average (SMA) or the Exponential Moving Average (EMA), which are less flexible.
// VIDYA (Variable Index Dynamic Average) function
vidya_calc(src, vidya_length, vidya_momentum) =>
float momentum = ta.change(src)
float sum_pos_momentum = math.sum((momentum >= 0) ? momentum : 0.0, vidya_momentum)
float sum_neg_momentum = math.sum((momentum >= 0) ? 0.0 : -momentum, vidya_momentum)
float abs_cmo = math.abs(100 * (sum_pos_momentum - sum_neg_momentum) / (sum_pos_momentum + sum_neg_momentum))
float alpha = 2 / (vidya_length + 1)
var float vidya_value = 0.0
vidya_value := alpha * abs_cmo / 100 * src + (1 - alpha * abs_cmo / 100) * nz(vidya_value )
ta.sma(vidya_value, 15)
When momentum is strong, VIDYA adapts and smooths out price movements quicker, making it more responsive to rapid price changes. This makes VIDYA more adaptable to volatile markets compared to traditional moving averages
Triangle Trend Shift Signals:
The indicator marks trend shifts with up and down triangles, signaling a potential change in direction. These signals appear when the price crosses above a VIDYA during an uptrend or crosses below during a downtrend.
Volume Pressure Calculation:
The Volumatic VIDYA tracks the buy and sell pressure during each trend, calculating the cumulative volume for up and down bars. Positive delta volume occurs during uptrends due to higher buy pressure, while negative delta volume reflects higher sell pressure during downtrends. The delta is displayed in real-time on the chart, offering a quick view of volume imbalances.
Market Structure Pivot Lines with Volume Labels:
The indicator draws horizontal lines based on market structure pivots, which are calculated using the highs and lows of price action. These lines are extended on the chart until price crosses them. The indicator also plots the average volume over a 6-bar range to provide a clearer understanding of volume dynamics at critical points.
🔵 CUSTOMIZATION
VIDYA Length & Momentum: Control the sensitivity of the VIDYA line by adjusting the length and momentum settings, allowing traders to customize the smoothing effect to match their trading style.
Volume Pivot Detection: Set the number of bars to consider for identifying pivots, which influences the calculation of the average volume at key levels.
Band Distance: Adjust the band distance multiplier for controlling how far the upper and lower bands extend from the VIDYA line, based on the ATR (Average True Range).
Dynamic Touch Trendlines [QuantVue]The Dynamic Touch Trendlines (DTT) indicator automatically draws and manages trendlines on your chart, helping traders identify key support and resistance levels.
What sets the DTT indicator apart from other trendline indicators is its ability to let traders customize the number of touches required to validate a trendline. This flexibility allows you to fine-tune the indicator for different markets or trading styles, ensuring only strong trendlines with the specified number of touches are considered valid.
This indicator features both uptrend lines (drawn from pivot lows) and downtrend lines (drawn from pivot highs), making it suitable for detecting bullish and bearish trends.
An uptrend line connects three (default setting) or more significant lows, showing where price has historically found support. Traders often look for price to bounce off this line during pullbacks in an uptrend.
When price breaks below an uptrend line, it suggests a weakening of the bullish trend. This could mean that buyers are losing strength, and the market may be transitioning into a bearish phase, providing a potential opportunity for traders to enter short positions or exit long positions.
Conversely, a downtrend line connects three (default setting) or more significant highs, indicating potential resistance in a downtrend. Price action below this line can signal continued bearish momentum.
When price breaks above a downtrend line, it indicates a potential reversal of the bearish trend. This can signal the end of selling pressure and the beginning of a new bullish phase, offering traders a potential opportunity to enter long positions.
Key settings:
Minimum Touches: This sets the number of price touches required to validate a trendline. Increasing the minimum touches filters out weaker trends, ensuring that only more reliable trendlines are drawn.
Buffer: The buffer is used to account for minor price overshoots or near misses relative to the trendline. It creates a margin around the trendline, allowing price to come close to the line—whether it overshoots slightly or falls just short—and still count as a valid touch. This helps ensure that small price fluctuations or market noise don’t prevent valid trendline touches from being recognized, making the trendlines more reliable.
Trendline Break Source: Allows traders to define how a trendline is considered broken—either based on the close of the price bar or the wicks (highs and lows) of the price action.
The DTT indicator also features alerts whenever a new trendline is detected or an existing trendline is broken!
Low Volatility Range Breaks [BigBeluga]Low Volatility Range Breaks
The Low Volatility Range Breaks indicator is an advanced technical analysis tool designed to identify periods of low volatility and potential breakout opportunities. By visualizing low volatility ranges as ranges and tracking subsequent price movements, this indicator helps traders spot potential high-probability trade setups.
🔵 KEY FEATURES
● Low Volatility Detection
Identifies periods of low volatility based on highest and lowest periods and user-defined sensitivity
Uses a combination of highest/lowest price calculations and ATR for dynamic adaptation
● Volatility Box Visualization
Creates a box to represent the low volatility range
Box height is adjustable based on ATR multiplier
Includes a mid-line for reference within the box
● Breakout Detection
Identifies when price breaks above or below the volatility box
Labels breakouts as "Break Up" or "Break Dn" on the chart
Changes box appearance to indicate a completed breakout
● Probability Tracking
Counts the number of closes above and below the box's mid-line
Displays probability counters for potential upward and downward moves
Resets counters after a confirmed breakout
🔵 HOW TO USE
● Identifying Low Volatility Periods
Watch for the formation of volatility boxes on the chart
These boxes represent periods where price movement has been confined
● Anticipating Breakouts
Monitor price action as it approaches the edges of the volatility box
Use the probability counters to gauge the likely direction of the breakout
● Trading Breakouts
Consider posible entering trades when price breaks above or below the volatility box
Use the breakout labels ("Break Up" or "Break Dn") as a trading opportunity
● Managing Risk
Use the opposite side of the volatility box as a potential invalidation level
Consider the box height for position sizing and risk management
● Trend Analysis
Multiple upward breakouts may indicate a developing uptrend
Multiple downward breakouts may suggest a forming downtrend
Use in conjunction with other trend indicators for confirmation
🔵 CUSTOMIZATION
The Low Volatility Box Breaks indicator offers several customization options:
Adjust the volatility length to change the period for highest/lowest price calculations
Modify the volatility level to fine-tune the sensitivity of low volatility detection
Adjust the box height multiplier to change the size of volatility boxes
By fine-tuning these settings, traders can adapt the indicator to various market conditions and personal trading strategies.
The Low Volatility Range Breaks indicator provides a unique approach to identifying potential breakout opportunities following periods of consolidation. By visually representing low volatility periods and tracking subsequent price movements, it offers traders a powerful tool for spotting high-probability trade setups.
This indicator can be particularly useful for traders focusing on breakout strategies, mean reversion tactics, or those looking to enter trades at the beginning of new trends. The combination of visual cues (boxes and breakout labels) and quantitative data (probability counters) provides a comprehensive view of market dynamics during and after low volatility periods.
As with all technical indicators, it's recommended to use the Low Volatility Range Breaks indicator in conjunction with other forms of analysis and within the context of a well-defined trading strategy. While this indicator can provide valuable insights into potential breakouts, it should be considered alongside other factors such as overall market trends, volume, and fundamental analysis when making trading decisions.
Jurik Price Bands and Range Box [BigBeluga]Jurik Price Bands and Range Box
The Jurik Price Bands and Range Box - BigBeluga indicator is an advanced technical analysis tool that combines Jurik Moving Average (JMA) based price bands with a dynamic range box. This versatile indicator is designed to help traders identify trends, potential reversal points, and price ranges over a specified period.
🔵 KEY FEATURES
● Jurik Price Bands
Utilizes Jurik Moving Average for smoother, more responsive bands
//@function Calculates Jurik Moving Average
//@param src (float) Source series
//@param len (int) Length parameter
//@param ph (int) Phase parameter
//@returns (float) Jurik Moving Average value
jma(src, len, ph) =>
var float jma = na
var float e0 = 0.0
var float e1 = 0.0
var float e2 = 0.0
phaseRatio = ph < -100 ? 0.5 : ph > 100 ? 2.5 : ph / 100 + 1.5
beta = 0.45 * (len - 1) / (0.45 * (len - 1) + 2)
alpha = math.pow(beta, phaseRatio)
e0 := (1 - alpha) * src + alpha * nz(e0 )
e1 := (src - e0) * (1 - beta) + beta * nz(e1 )
e2 := (e0 + phaseRatio * e1 - nz(jma )) * math.pow(1 - alpha, 2) + math.pow(alpha, 2) * nz(e2 )
jma := e2 + nz(jma )
jma
Consists of an upper band, lower band, and a smooth price line
Bands adapt to market volatility using Jurik MA on ATR
Helps identify potential trend reversal points and overextended market conditions
● Dynamic Range Box
Displays a box representing the price range over a specified period
Calculates high, low, and mid-range prices
Option for adaptive mid-range calculation based on average price
Provides visual representation of recent price action and volatility
● Price Position Indicator
Shows current price position relative to the mid-range
Displays percentage difference from mid-range
Color-coded for quick trend identification
● Dashboard
Displays key information including current price, range high, mid, and low
Shows trend direction based on price position relative to mid-range
Provides at-a-glance market context
🔵 HOW TO USE
● Trend Identification
Use the middle of the Range Box as the primary trend reference point
Price above the middle of the Range Box indicates an uptrend
Price below the middle of the Range Box indicates a downtrend
The bar on the right shows the percentage distance of the close from the middle of the box
This percentage indicates both trend direction and strength
Refer to the dashboard for quick trend direction confirmation
● Potential Reversal Points
Upper and lower Jurik Bands can indicate potential trend reversal points
Price reaching or exceeding these bands may suggest overextended conditions
Watch for price reaction at these levels for possible trend shifts or pullbacks
Range Box high and low can serve as additional reference points for price action
● Range Analysis
Use Range Box to gauge recent price volatility and trading range
Mid-range line can act as a pivot point for short-term price movements
Percentage difference from mid-range helps quantify price position strength
🔵 CUSTOMIZATION
The Jurik Price Bands and Range Box indicator offers several customization options:
Adjust Range Box length for different timeframe analysis
Toggle between standard and adaptive mid-range calculation
Standard:
Adaptive:
Modify Jurik MA length and deviation for band calculation
Toggle visibility of Jurik Bands
By fine-tuning these settings, traders can adapt the indicator to various market conditions and personal trading strategies.
The Jurik Price Bands and Range Box indicator provides a multi-faceted approach to market analysis, combining trend identification, potential reversal point detection, and range analysis in one comprehensive tool. The use of Jurik Moving Average offers a smoother, more responsive alternative to traditional moving averages, potentially providing more accurate signals.
This indicator can be particularly useful for traders looking to understand market context quickly, identify potential reversal points, and assess current market volatility. The combination of dynamic bands, range analysis, and the informative dashboard provides traders with a rich set of data points to inform their trading decisions.
As with all technical indicators, it's recommended to use the Jurik Price Bands and Range Box in conjunction with other forms of analysis and within the context of a well-defined trading strategy. While this indicator provides valuable insights, it should be considered alongside other factors such as overall market conditions, volume, and fundamental analysis when making trading decisions.
DSL Oscillator [BigBeluga]DSL Oscillator BigBeluga
The DSL (Discontinued Signal Lines) Oscillator is an advanced technical analysis tool that combines elements of the Relative Strength Index (RSI), Discontinued Signal Lines, and Zero-Lag Exponential Moving Average (ZLEMA). This versatile indicator is designed to help traders identify trend direction, momentum, and potential reversal points in the market.
What are Discontinued Signal Lines (DSL)?
Discontinued Signal Lines are an extension of the traditional signal line concept used in many indicators. While a standard signal line compares an indicator's value to its smoothed (slightly lagging) state, DSL takes this idea further by using multiple adaptive lines that respond to the indicator's current value. This approach provides a more nuanced view of the indicator's state and momentum, making it easier to determine trends and desired states of the indicator.
🔵 KEY FEATURES
● Discontinued Signal Lines (DSL)
Uses multiple adaptive lines that respond to the indicator's value
Provides a more nuanced view of the indicator's state and momentum
Helps determine trends and desired states of the indicator more effectively
Available in "Fast" and "Slow" modes for different responsiveness
Acts as dynamic support and resistance levels for the oscillator
● DSL Oscillator
Based on a combination of RSI and Discontinued Signal Lines
// Discontinued Signal Lines
dsl_lines(src, length)=>
UP = 0.
DN = 0.
UP := (src > ta.sma(src, length)) ? nz(UP ) + dsl_mode / length * (src - nz(UP )) : nz(UP )
DN := (src < ta.sma(src, length)) ? nz(DN ) + dsl_mode / length * (src - nz(DN )) : nz(DN )
Smoothed using Zero-Lag Exponential Moving Average for reduced lag
// Zero-Lag Exponential Moving Average function
zlema(src, length) =>
lag = math.floor((length - 1) / 2)
ema_data = 2 * src - src
ema2 = ta.ema(ema_data, length)
ema2
Oscillates between 0 and 100
Color-coded for easy interpretation of market conditions
● Signal Generation
Generates buy signals when the oscillator crosses above the lower DSL line below 50
Generates sell signals when the oscillator crosses below the upper DSL line above 50
Signals are visualized on both the oscillator and the main chart
● Visual Cues
Background color changes on signal occurrences for easy identification
Candles on the main chart are colored based on the latest signal
Oscillator line color changes based on its position relative to the DSL lines
🔵 HOW TO USE
● Trend Identification
Use the color and position of the DSL Oscillator relative to its Discontinued Signal Lines to determine the overall market trend
● Entry Signals
Look for buy signals (green circles) when the oscillator crosses above the lower DSL line
Look for sell signals (blue circles) when the oscillator crosses below the upper DSL line
Confirm signals with the triangles on the main chart and background color changes
● Exit Signals
Consider exiting long positions on exit signals and short positions on Entery signals
Watch for the oscillator crossing back between the DSL lines as a potential early exit signal
● Momentum Analysis
Strong momentum is indicated when the oscillator moves rapidly towards extremes and away from the DSL lines
Weakening momentum can be spotted when the oscillator struggles to reach new highs or lows, or starts converging with the DSL lines
The space between the DSL lines can indicate potential momentum strength - wider gaps suggest stronger trends
● Confirmation
Use the DSL lines as dynamic support/resistance levels for the oscillator
Look for convergence between oscillator signals and price action on the main chart
Combine signals with other technical indicators or chart patterns for stronger confirmation
🔵 CUSTOMIZATION
The DSL Oscillator offers several customization options:
Adjust the main calculation length for the DSL lines
Choose between "Fast" and "Slow" modes for the DSL lines calculation
By fine-tuning these settings, traders can adapt the DSL Oscillator to various market conditions and personal trading strategies.
The DSL Oscillator provides a multi-faceted approach to market analysis, combining trend identification, momentum assessment, and signal generation in one comprehensive tool. Its dynamic nature and visual cues make it suitable for both novice and experienced traders across various timeframes and markets. The integration of RSI, Discontinued Signal Lines, and ZLEMA offers traders a sophisticated yet intuitive tool to inform their trading decisions.
The use of Discontinued Signal Lines sets this oscillator apart from traditional indicators by providing a more adaptive and nuanced view of market conditions. This can potentially lead to more accurate trend identification and signal generation, especially in markets with varying volatility.
Traders can use the DSL Oscillator to identify trends, spot potential reversals, and gauge market momentum. The combination of the oscillator, dynamic signal lines, and clear visual signals provides a holistic view of market conditions. As with all technical indicators, it's recommended to use the DSL Oscillator in conjunction with other forms of analysis and within the context of a well-defined trading strategy.
Trend LinesThis script, titled "Trend Lines," is designed to detect and plot significant trend lines on a TradingView chart, based on pivot points. It highlights both uptrend and downtrend lines using different colors and allows customization of line styles, including color and thickness. Here's a breakdown of how the script works:
Inputs
Left Bars (lb) and Right Bars (rb): These inputs determine the number of bars to the left and right of a pivot point used to identify significant highs and lows.
Show Pivot Points: A boolean input to display markers at detected pivot points on the chart.
Show Old Line as Dashed: A boolean input to display older trend lines as dashed for visual distinction.
Uptrend Line Color (ucolor) and Downtrend Line Color (dcolor): Color inputs to customize the appearance of uptrend and downtrend lines.
Uptrend Line Thickness (uthickness) and Downtrend Line Thickness (dthickness): Inputs to adjust the thickness of the trend lines.
Calculations
Pivot Highs and Lows: The script calculates potential pivot highs and lows by looking at lb bars to the left and rb bars to the right. If a bar's high is the highest (or low is the lowest) within this window, it is considered a pivot point.
Trend Lines: The script connects the most recent and previous pivot highs to form downtrend lines, and the most recent and previous pivot lows to form uptrend lines. These lines are drawn with the specified color and thickness.
Angles: The angle of each trend line is calculated to determine whether the trend is strengthening or weakening. If the trend changes significantly, the line's extension is adjusted accordingly.
Plotting
Pivot Point Markers: If Show Pivot Points is enabled, markers labeled "H" for highs and "L" for lows are plotted at the pivot points.
Trend Lines: The script draws lines between pivot points, coloring them according to the trend direction (uptrend or downtrend). If Show Old Line as Dashed is enabled, the script sets older lines to a dashed style to indicate they are no longer the most recent trend lines.
This script is useful for traders who want to visually identify key support and resistance levels based on historical price action, helping them to make more informed trading decisions. The customization options allow traders to tailor the appearance of the trend lines to suit their personal preferences or charting style.
TrendzonesHi all!
This indicator plots trendlines. These lines are not plotted as traditional lines, but are instead zones. This is useful if you think that trend lines are more of an area of importance than a line.
It does so by finding pivots and connecting two of them if they have not been broken (more about that later) in-between the pivots.
These trend zones can be used as support/resistance that the price can react to.
• The first trendline is drawn between the high/low of the first and second pivot.
• The second trendline's first point is at the open/close of the pivot (either the first pivot or the second one) that has the smallest difference between the high/low and the nearest open/close. The same difference (between the high/low and the open/close) is then subtracted from the other pivot's high/low. This creates a point at the other pivot bar. A trendline is then drawn between the points.
This creates two trendlines and a zone between the two trendlines. This zone is the one kept and is shown by the script.
You can define the pivot lengths used to find trend zones (defaults to 3/3). You can also define the number of pivots to look back for, to find trend zones and the number of active zones, both of these defaults to 3. You can also choose to let the script create new zones based on time ("Oldest") or the zone that is furthest away in price, this defaults to be based on time but it can be useful for letting the script remove the one which is furthest away in price. Another useful setting is the one called "Cross source". This defines the price that has to cross the trend zone to make it invalid (broken). This defaults to "Close", i.e. the bar has to close on the "wrong side" of the trend zone.
The current zones are shown with an extension to the right, but you can also choose to keep the previous lines (without extension). Please note that kept zones are only the ones that are broken, not the replaced ones. I.e. the zones that are kept are the ones that are crossed by the user defined "cross source" (defaults to the closing/current price of the bar).
Hope this makes sense, let me know if you have any questions.
Best of trading luck!
Johnny's Trend Lines, Supports and ResistancesInspired and based on ismailcarlik's Trend Lines, Supports and Resistances.
Additions include an overall upgrade to Pinescript v5, changes in the way resistance and support levels are calculated, improved visual queues, and additional customization options.
This indicator is meticulously crafted to provide traders with visual tools for identifying trend lines, support, and resistance levels, enhancing the decision-making process in trading activities.
Features and Functionality
Trend Lines: The indicator allows users to enable or disable trend lines, adjust the number of points to check for establishing a trend, and set parameters for trend validation, including the maximum violation and exceptions for the last bars.
Support and Resistance: It offers tools to identify and visualize key support and resistance levels based on recent pivot points. This includes adjustable parameters for the maximum violations allowed and the exclusion of recent bars from the analysis.
Pivot Points: Users can define the pivot length for calculating highs and lows, which helps in marking significant pivot points that are instrumental in trend analysis.
Alerts and Notifications: The indicator is equipped with customizable alerts for trend line breaches and pivot point formations, which can be set to trigger at different frequencies based on user preference.
How It Works
Input Flexibility: Users can adjust various settings like the length of trend lines and pivot points, enabling or disabling specific features like marking pivots, and managing alert settings directly from the indicator’s input panel.
Dynamic Analysis: By analyzing the price action relative to the calculated trend lines and pivot points, the indicator dynamically identifies potential trend reversals, continuations, and significant price levels.
Visualization: It plots trend lines and marks support and resistance levels directly on the chart, with options to extend these lines and add labels for better clarity. Violated trend lines can be visually differentiated by changing their style and width.
Practical Application
Trend Line Strategy: Traders can use the trend lines to determine the strength of the current market trend and to spot potential reversal points.
Support and Resistance Strategy: By marking where the price has historically faced resistance or found support, traders can plan entry and exit points, set stop-loss orders, or identify breakout opportunities.
Pivot Points Strategy: Pivot points serve as vital indicators for intraday trading or long-term trend analysis, providing insights into potential support and resistance levels.
Customization and Alerts
Custom Alerts: Traders can set alerts for when the price crosses trend lines or when new support or resistance levels are formed, helping them stay informed of critical market movements without having to continuously monitor the charts.
Visual Customization: Users can personalize the appearance of trend lines and labels, choosing from a variety of colors and styles to match their chart setup or preferences.
"Johnny's Trend Lines, Supports and Resistances" is an essential tool for traders who rely on technical analysis, offering detailed insights and real-time updates on market conditions, trend strength, and potential price barriers.
Lin Reg (Linear Regression) Support and Resistance by xxMargauxLin Reg (Linear Regression) Support & Resistance by xxMargaux 💸
This indicator plots three linear regression lines (Lin Reg) on the price chart, providing insights into potential support and resistance levels. It calculates Lin Reg lines based on user-defined lengths and sources.
This indicator's settings were initially configured for MNQ1! (E-Mini Nasdaq 100 futures contracts). But works as intended on any security and on any timeframe.
When price is below a given Lin Reg line, that line will be red and may serve as resistance as price moves up towards the line. That is, it may be a potential short entry opportunity. When price is above a given Lin Reg line, that line will be green and may serve as support as price continues up from the line. That is, it may be a potential long entry opportunity.
When price starts to break sideways or down through the Lin Reg lines, this may signal a reversal from uptrend to downtrend. When price starts to break sideways or up through the Lin Reg Lines, this may signal a reversal from downtrend to uptrend. In very strong trends, breaking through the lines briefly may provide an entry opportunity, but be cautious because a trend reversal may also be possible.
Inputs:
Length of Price Lin Reg Lines: Customize the lengths of the three Lin Reg lines.
Source for Price Lin Reg Lines: Choose the source for each Lin Reg line.
Source for Security Price: Select the price source for the security.
Features:
Trend Analysis: Assists in visualizing price trends based on the relationship between the security price and Lin Reg lines, which will be colored according to whether price is above or below each Lin Reg line.
Customizable Colors: When price is above a Lin Reg line that line will be green. When price is below a Lin Reg line, that line will be red.
Here's a beginner-friendly explanation of linear regression lines 💡
Best-Fit Line: Imagine you have a scatter plot of closing prices on a chart. Linear regression aims to find the straight line that best fits the overall trend of these data points. It's like drawing a line through the center of the data that minimizes the distance between the line and each data point.
Trend Identification: Once the linear regression line is plotted on a price chart, it provides a visual representation of the trend. If the price is generally rising, the linear regression line will slope upwards. If the price is falling, the line will slope downwards. This helps traders identify whether the trend is bullish (upward) or bearish (downward).
Support and Resistance: Linear regression lines can also act as dynamic support and resistance levels. When the price is above the linear regression line, it may act as support, meaning the price tends to bounce off the line and continue higher. Conversely, when the price is below the line, it may act as resistance, with the price encountering selling pressure and potentially reversing lower.
Reversal Signals: Changes in the slope or direction of the linear regression line can signal potential trend reversals. For example, if the price breaks above a downward-sloping linear regression line, it may indicate a shift from a downtrend to an uptrend, and vice versa.
Adjustable Parameters: Traders can customize the length of the linear regression line by adjusting the period over which it's calculated. Shorter periods may be more sensitive to recent price changes, while longer periods may provide a smoother trend line.
RSI Confirm Trend with Williams (W%R)RSI Confirm Trend with Williams (W%R)
This is the "RSI Confirm Trend with Williams (W%R)" indicator
This is a modification of the "RSI Trends" indicator by zzzcrypto123.
What Is the Relative Strength Index (RSI)?
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security.
What is Williams %R?
Williams %R, also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
How Does "RSI Confirm Trend with Williams (W%R)" work?
This indicator combines the momentum of both RSI and Williams %R by adding upper and lower thresholds. When the thresholds are broken, this indicator changes color from gray to either green or red.
What Are The Thresholds?
The default RSI thresholds are 55 and 45. These values are configurable.
The default Williams %R thresholds are 80 and 20. These values are configurable and made positive so it can be plotted against the RSI line.
How To Use?
When the RSI exceeded the upper/lower thresholds, the RSI line color will change from gray to lighter green/red color.
When the Williams %R exceeded the upper/lower thresholds, the RSI color will change to darker green/red color signifying a strong momentum in that direction.
When the RSI color is gray, this means the RSI and Williams %R thresholds are not broken which can also signify as no trend or consolidation.
The Williams %R line is not displayed by default but can be enabled using the checkbox provided in the Style tab.
This "RSI Confirm Trend with Williams (W%R)" indicator can be combined with other technical indicators to verify the idea behind this theory.
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Disclaimer
The information contained in this indicator does not constitute any financial advice or a solicitation to buy or sell any securities of any type.
My scripts/indicators/ideas are for educational purposes only!
TrendLine Toolkit w/ Breaks (Real-Time)The TrendLine Toolkit script introduces an innovating capability by extending the conventional use of trendlines beyond price action to include oscillators and other technical indicators. This tool allows traders to automatically detect and display trendlines on any TradingView built-in oscillator or community-built script, offering a versatile approach to trend analysis. With breakout detection and real-time alerts, this script enhances the way traders interpret trends in various indicators.
🔲 Methodology
Trendlines are a fundamental tool in technical analysis used to identify and visualize the direction and strength of a price trend. They are drawn by connecting two or more significant points on a price chart, typically the highs or lows of consecutive price movements (pivots).
Drawing Trendlines:
Uptrend Line - Connects a series of higher lows. It signals an upward price trend.
Downtrend Line - Connects a series of lower highs. It indicates a downward price trend.
Support and Resistance:
Support Line - A trendline drawn under rising prices, indicating a level where buying interest is historically strong.
Resistance Line - A trendline drawn above falling prices, showing a level where selling interest historically prevails.
Identification of Trends:
Uptrend - Prices making higher highs and higher lows.
Downtrend - Prices making lower highs and lower lows.
Sideways (or Range-bound) - Prices moving within a horizontal range.
A trendline helps confirm the existence and direction of a trend, providing guidance in aligning with the prevailing market sentiment. Additionally, they are usually paired with breakout analysis, a breakout occurs when the price breaches a trendline. This signals a potential change in trend direction or an acceleration of the existing trend.
The script adapts this methodology to oscillators and other indicators. Instead of relying on price pivots, which can only be detected in retrospect, the script utilizes a trailing stop on the oscillator to identify potential swings in real-time, you may find more info about it here (SuperTrend toolkit) . We detect swings or pivots simply by testing for crosses between the indicator and its trailing stop.
type oscillator
float o = Oscillator Value
float s = Trailing Stop Value
oscillator osc = oscillator.new()
bool l = ta.crossunder(osc.o, osc.s) => Utilized as a formed high
bool h = ta.crossover (osc.o, osc.s) => Utilized as a formed low
This approach enables the algorithm to detect trendlines between consecutive pivot highs or lows on the oscillator itself, providing a dynamic and immediate representation of trend dynamics.
🔲 Breakout Detection
The script goes beyond trendline creation by incorporating breakout detection directly within the oscillator. After identifying a trendline, the algorithm continuously monitors the oscillator for potential breakouts, signaling shifts in market sentiment.
🔲 Setup Guide
A simple example on one of my public scripts, Z-Score Heikin-Ashi Transformed
🔲 Settings
Source - Choose an oscillator source of which to base the Toolkit on.
Zeroing - The Mid-Line value of the oscillator, for example RSI & MFI use 50.
Sensitivity - Calibrates the Sensitivity of which TrendLines are detected, higher values result in more detections.
🔲 Alerts
Bearish TrendLine
Bullish TrendLine
Bearish Breakout
Bullish Breakout
As well as the option to trigger 'any alert' call.
By integrating trendline analysis into oscillators, this Toolkit enhances the capabilities of technical analysis, bringing a dynamic and comprehensive approach to identifying trends, support/resistance levels, and breakout signals across various indicators.
Smart Money Concepts [UAlgo]🔶 Description:
Smart Money Concepts (SMC) refer to a trading strategy that revolves around understanding and following the actions of institutional investors, such as banks and hedge funds, who are considered the “smart money” in the market. The concept is based on the idea that these institutions have more information and resources, and thus their market activities can indicate future market movements.
This script designed to be a tool that will automatically provide many features related to SMC concept for investors, offering a market structure analysis that includes the identification of order blocks, breaker blocks, and liquidity points. It also delineates premium and discount zones, highlights Fair Value Gaps (FVG), Volume Imbalance (VI) and Order Gap (OG) areas, providing users with a multifaceted view of market dynamics.
🔶 Key Features:
Market Structure Analysis : Simplifies the overview of market behavior, identifies market breakouts or trend continuation.
It detects the market structure as shown in the image below :
Order Blocks : Detects Order Blocks based on market structure analysis and volume characteristics. It draws these blocks and provides information such as volume.
Order Block Identification:
Breaker Blocks : Detects Breaker Blocks based on market structure analysis.
Breaker Block Identification:
When Order Block above is broken,
As you can see, it has now turned into a Bearish Breaker Block,
And it seems that the price is getting a reaction from this breaker block above.
Liquidity Sweeps : Tracks liquidity sweeps on both the buy and sell sides, offering traders a perspective on market momentum and potential shifts.
Multi-Timeframe Fair Value Gap (FVG), Volume Imbalance (VI), Order Gaps (OG) Detection : Detects Fair Value Gap (FVG), Volume Imbalance (VI) and Order Gaps (OG) based on different criteria such as price movements and volume characteristics. It marks these gaps/voids and provides visual cues for analysis.
Examle for FVG:
Premium & Discount Zone Analysis : Analyzes premium and discount zones, showing prices within these zones and highlighting equilibrium (0.5) levels.
Customizable Options : Provides various input parameters for customization, such as market structure length, sensitivity settings, display preferences, and mitigation methods.
Previous Key Levels : Identifies previous key levels include previous highs, lows, equilibrium points, and open prices across different timeframes such as daily, weekly, and monthly.
🔶 Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
