Industry Group StrengthThe Industry Group Strength indicator is designed to help traders identify the best-performing stocks within specific industry groups. The movement of individual stocks is often closely tied to the overall performance of their industry. By focusing on industry groups, this indicator allows you to find the top-performing stocks within an industry.
Thanks to a recent Pine Script update, an indicator like this is now possible. Special thanks to @PineCoders for introducing the dynamic requests feature.
How this indicator works:
The indicator contains predefined lists of stocks for each industry group. To be included in these lists, stocks must meet the following basic filters:
Market capitalization over 2B
Price greater than $10
Primary listing status
Once the relevant stocks are filtered, the indicator automatically recognizes the industry group of the current stock displayed on the chart. It then retrieves and displays data for that entire industry group.
Data Points Available:
The user can choose between three different data points to rank and compare stocks:
YTD (Year-To-Date) Return: Measures how much a stock has gained or lost since the start of the year.
RS Rating: A relative strength rating for a user-selected lookback period (explained below).
% Return: The percentage return over a user-selected lookback period.
Stock Ranking:
Stocks are ranked based on their performance within their respective industry groups, allowing users to easily identify which stocks are leading or lagging behind others in the same sector.
Visualization:
The indicator presents stocks in a table format, with performance metrics displayed both as text labels and color-coded lines. The color gradient represents the percentile rank, making it visually clear which stocks are outperforming or underperforming within their industry group.
Relative Strength (RS):
Relative Strength (RS) measures a stock’s performance relative to a benchmark, typically the S&P 500 (the default setting). It is calculated by dividing the closing price of the stock by the closing price of the S&P 500.
If the stock rises while the S&P 500 falls, or if the stock rises more sharply than the S&P 500, the RS value increases. Conversely, if the stock falls while the S&P 500 rises, the RS value decreases. This indicator normalizes the RS value into a range from 1 to 99, allowing for easier comparison across different stocks, regardless of their raw performance. This normalized RS value helps traders quickly assess how a stock is performing relative to others.
在腳本中搜尋"relative strength"
Wick Strength [MS]Overview
The Wick Strength indicator is a unique script designed to measure and visualize the relative strength of candlestick wicks over time. By analyzing the relationship between upper and lower wicks, this indicator provides insights into potential market dynamics and price action patterns.
How It Works
The Wick Strength indicator calculates the "strength" of candlestick wicks by comparing the upward and downward movements within each candle's range. This calculation results in a dynamic line plot that represents the evolving wick strength across your chosen timeframe.
Strength is not range-bound, allowing the score to reach extremes and be compared relatively across time.
Interpretation
Positive values indicate stronger upper wicks (potential bearish pressure)
Negative values suggest stronger lower wicks (potential bullish pressure)
Extreme readings might signal overextended moves or potential reversals
Key Features
Measures relative wick strength candle by candle
Smooths the values by summation based on user preference
Adaptable to all timeframes and markets
Potential Applications
While extensive backtesting has not been performed, the Wick Strength indicator may offer valuable insights for:
Identifying potential divergences between price action and wick strength
Spotting changes in market sentiment or volatility
Complementing other technical analysis tools for a more comprehensive trading approach
Developing unique trading strategies based on wick behavior
Fusion MFI RSIHello fellas,
This superb indicator summons two monsters called Relative Strength Index (RSI) and Money Flow Index (MFI) and plays the Yu-Gi-Oh! card "Polymerization" to combine them.
Overview
The Fusion MFI RSI Indicator is an advanced analytical tool designed to provide a nuanced understanding of market dynamics by combining the Relative Strength Index (RSI) and the Money Flow Index (MFI). Enhanced with sophisticated smoothing techniques and the Inverse Fisher Transform (IFT), this indicator excels in identifying key market conditions such as overbought and oversold states, trends, and potential reversal points.
Key Features (Brief Overview)
Fusion of RSI and MFI: Integrates momentum and volume for a comprehensive market analysis.
Advanced Smoothing Techniques: Employs Hann Window, Jurik Moving Average (JMA), T3 Smoothing, and Super Smoother to refine signals.
Inverse Fisher Transform (IFT) Enhances the clarity and distinctiveness of indicator outputs.
Detailed Feature Analysis
Fusion of RSI and MFI
RSI (Relative Strength Index): Developed by J. Welles Wilder Jr., the RSI measures the speed and magnitude of directional price movements. Wilder recommended using a 14-day period and identified overbought conditions above 70 and oversold conditions below 30.
MFI (Money Flow Index): Created by Gene Quong and Avrum Soudack, the MFI combines price and volume to measure trading pressure. It is typically calculated using a 14-day period, with over 80 considered overbought and under 20 as oversold.
Application in Fusion: By combining RSI and MFI, the indicator leverages RSI's sensitivity to price changes with MFI's volume-weighted confirmation, providing a robust analysis tool. This combination is particularly effective in confirming the strength behind price movements, making the signals more reliable.
Advanced Smoothing Techniques
Hann Window: Traditionally used to reduce the abrupt data discontinuities at the edges of a sample, it is applied here to smooth the price data.
Jurik Moving Average (JMA): Known for preserving the timing and smoothness of the data, JMA reduces market noise effectively without significant lag.
T3 Smoothing: Developed to respond quickly to market changes, T3 provides a smoother response to price fluctuations.
Super Smoother: Filters out high-frequency noise while retaining important trends.
Application in Fusion: These techniques are chosen to refine the output of the combined RSI and MFI values, ensuring the indicator remains responsive yet stable, providing clearer and more actionable signals.
Inverse Fisher Transform (IFT):
Developed by John Ehlers, the IFT transforms oscillator outputs to enhance the clarity of extreme values. This is particularly useful in this fusion indicator to make critical turning points more distinct and actionable.
Mathematical Calculations for the Fusion MFI RSI Indicator
RSI (Relative Strength Index)
The RSI is calculated using the following steps:
Average Gain and Average Loss: First, determine the average gain and average loss over the specified period (typically 14 days). This is done by summing all the gains and losses over the period and then dividing each by the period.
Average Gain = (Sum of Gains over the past 14 periods) / 14
Average Loss = (Sum of Losses over the past 14 periods) / 14
Relative Strength (RS): This is the ratio of average gain to average loss.
RS = Average Gain / Average Loss
RSI: Finally, the RSI is calculated using the RS value:
RSI = 100 - (100 / (1 + RS))
MFI (Money Flow Index)
The MFI is calculated using several steps that incorporate both price and volume:
Typical Price: Calculate the typical price for each period.
Typical Price = (High + Low + Close) / 3
Raw Money Flow: Multiply the typical price by the volume for the period.
Raw Money Flow = Typical Price * Volume
Positive and Negative Money Flow: Compare the typical price of the current period to the previous period to determine if the money flow is positive or negative.
If today's Typical Price > Yesterday's Typical Price, then Positive Money Flow = Raw Money Flow; Negative Money Flow = 0
If today's Typical Price < Yesterday's Typical Price, then Negative Money Flow = Raw Money Flow; Positive Money Flow = 0
Money Flow Ratio: Calculate the ratio of the sum of Positive Money Flows to the sum of Negative Money Flows over the past 14 periods.
Money Flow Ratio = (Sum of Positive Money Flows over 14 periods) / (Sum of Negative Money Flows over 14 periods)
MFI: Finally, calculate the MFI using the Money Flow Ratio.
MFI = 100 - (100 / (1 + Money Flow Ratio))
Fusion of RSI and MFI
The final Fusion MFI RSI value could be calculated by averaging the IFT-transformed values of RSI and MFI, providing a single oscillator value that reflects both momentum and volume-weighted price action:
Fusion MFI RSI = (MFI weight * MFI) + (RSI weight * RSI)
Suggested Settings and Trading Rules
Original Usage
RSI: Wilder suggested buying when the RSI moves above 30 from below (enter long) and selling when the RSI moves below 70 from above (enter short). He recommended exiting long positions when the RSI reaches 70 or higher and exiting short positions when the RSI falls below 30.
MFI: Quong and Soudack recommended buying when the MFI is below 20 and starts rising (enter long), and selling when it is above 80 and starts declining (enter short). They suggested exiting long positions when the MFI reaches 80 or higher and exiting short positions when the MFI falls below 20.
Fusion Application
Settings: Use a 14-day period for this indicator's calculations to maintain consistency with the original settings suggested by the inventors.
Trading Rules:
Enter Long Signal: Consider entering a long position when both RSI and MFI are below their respective oversold levels and begin to rise. This indicates strong buying pressure supported by both price momentum and volume.
Exit Long Signal: Exit the long position when either RSI or MFI reaches its respective overbought threshold, suggesting a potential reversal or decrease in buying pressure.
Enter Short Signal: Consider entering a short position when both indicators are above their respective overbought levels and begin to decline, suggesting that selling pressure is mounting.
Exit Short Signal: Exit the short position when either RSI or MFI falls below its respective oversold threshold, indicating diminishing selling pressure and a potential upward reversal.
How to Use the Indicator
Select Source and Timeframe: Choose the data source and the timeframe for analysis.
Configure Fusion Settings: Adjust the weights for RSI and MFI.
Choose Smoothing Technique: Select and configure the desired smoothing method to suit the market conditions and personal preference.
Enable Fisherization: Optionally apply the Inverse Fisher Transform to enhance signal clarity.
Customize Visualization: Set up gradient coloring, background plots, and bands according to your preferences.
Interpret the Indicator: Use the Fusion value and visual cues to identify market conditions and potential trading opportunities.
Conclusion
The Fusion MFI RSI Indicator integrates classical and modern technical analysis concepts to provide a comprehensive tool for market analysis. By combining RSI and MFI with advanced smoothing techniques and the Inverse Fisher Transform, this indicator offers enhanced insights, aiding traders in making more informed and timely trading decisions. Customize the settings to align with your trading strategy and leverage this powerful tool to navigate financial markets effectively.
Best regards,
simwai
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Credits to:
@loxx – T3
@everget – JMA
@cheatcountry – Hann Window
TrendMaster Pro IndicatorThe TrendMaster Pro Indicator is an advanced tool designed to assist traders in identifying potential buy and sell signals by leveraging a combination of exponential moving averages (EMAs), the relative strength index (RSI), and a custom volatility filter. This powerful indicator is suitable for traders of all levels and can be applied to various markets and timeframes, offering flexibility and reliability in trading decisions.
Key Features:
EMA Crossover Detection:
Utilizes a 5-period (short) and 13-period (long) EMA crossover to detect trend changes.
A bullish signal is generated when the 5 EMA crosses above the 13 EMA, indicating an upward trend.
A bearish signal is generated when the 5 EMA crosses below the 13 EMA, indicating a downward trend.
RSI Confirmation:
Incorporates a 14-period RSI to confirm the strength of detected trends.
A buy signal is validated when the RSI is above 50, indicating bullish momentum.
A sell signal is validated when the RSI is below 50, indicating bearish momentum.
Custom Volatility Filter:
Employs a volatility filter based on the standard deviation of closing prices over a specified period (default is 10 periods).
Ensures signals are only generated during periods of significant market movement, reducing noise and false signals.
The volatility threshold can be adjusted to suit different market conditions and trading styles.
How It Works:
EMA Crossover:
The TrendMaster Pro Indicator continuously monitors the crossover between the 5-period and 13-period EMAs.
A crossover event triggers the initial signal, suggesting a potential change in trend direction.
RSI Confirmation:
After an EMA crossover, the indicator checks the 14-period RSI value to confirm the trend's strength.
This confirmation step helps filter out weak or unreliable signals, ensuring only high-probability trades are considered.
Volatility Filter:
The indicator calculates the standard deviation of closing prices over the selected period to measure market volatility.
Signals are only generated if the volatility exceeds the user-defined threshold, ensuring that trades are made in active and dynamic market conditions.
How to Use:
Apply the Indicator:
Add the TrendMaster Pro Indicator to your trading chart via the TradingView platform.
Customize the EMA, RSI, and volatility settings according to your trading preferences and the specific market conditions.
Interpret Buy and Sell Signals:
Buy Signal: Look for a buy signal when the 5 EMA crosses above the 13 EMA, the RSI is above 50, and volatility exceeds the threshold. This combination indicates a strong bullish trend.
Sell Signal: Look for a sell signal when the 5 EMA crosses below the 13 EMA, the RSI is below 50, and volatility exceeds the threshold. This combination indicates a strong bearish trend.
Adjust Settings:
The default settings can be fine-tuned to match your trading strategy. Adjust the EMA lengths, RSI period, and volatility threshold to optimize the indicator for different assets and timeframes.
Unique Features:
Comprehensive Trend Detection: Combines multiple indicators (EMAs, RSI, volatility) to provide a holistic view of market trends.
Customizable: Easily adjustable settings allow traders to tailor the indicator to their specific needs and preferences.
Noise Reduction: The volatility filter ensures signals are generated only during significant market movements, improving signal accuracy and reliability.
Conclusion:
The TrendMaster Pro Indicator is a versatile and powerful tool that can enhance your trading strategy by providing clear and reliable buy and sell signals. Whether you are a day trader or a swing trader, this indicator can help you navigate the markets with confidence and precision. Add the TrendMaster Pro Indicator to your toolkit today and experience a new level of trading efficiency and effectiveness.
Market Structure RSIDescription:
The Market Structure RSI is an innovative indicator that combines the power of the Relative Strength Index (RSI) with market structure analysis to provide a unique perspective on the market. This indicator helps traders identify potential trend reversals and trading opportunities by analyzing the underlying market structure and generating overbought and oversold signals.
Key Features:
RSI Calculation: The indicator calculates a custom RSI based on the market structure, taking into account the formation of higher highs and lower lows. This unique approach to RSI calculation provides a more accurate representation of the market's strength and weakness.
Overbought and Oversold Levels: Users can customize the overbought and oversold levels according to their preferences. When the Market Structure RSI crosses above the oversold level, it generates a bullish signal, suggesting a potential long entry. Conversely, when the RSI crosses below the overbought level, it generates a bearish signal, indicating a potential short entry.
Moving Average: The indicator includes an optional moving average of the Market Structure RSI, which can be used to smooth out the RSI line and provide additional confirmation of trend reversals. Users can choose between EMA, SMA, and WMA and adjust the length of the moving average.
Customizable Close Type: The indicator allows users to define whether the market structure is deemed broken based on the candle close or the candle high/low. This flexibility enables traders to adapt the indicator to their preferred trading style and market conditions.
Visual Enhancements: The Market Structure RSI features gradient fills between the RSI line and the overbought/oversold levels, providing a clear visual representation of the market's strength. Additionally, the indicator plots bullish and bearish signals as circles on the RSI line, making it easy to identify potential entry points.
How to Use:
Add the Market Structure RSI to your chart and customize the settings according to your preferences, such as the RSI length, overbought and oversold levels, and moving average type and length.
Monitor the Market Structure RSI for crossovers above the oversold level or below the overbought level. A bullish signal occurs when the RSI crosses above the oversold level, while a bearish signal occurs when the RSI crosses below the overbought level.
Use the signals generated by the Market Structure RSI in conjunction with other technical analysis tools and price action patterns to confirm potential trade entries. The indicator works well as a complementary tool to support your existing trading strategy.
Consider the overall trend and market context when interpreting the signals generated by the Market Structure RSI. The indicator is most effective in trending markets and may produce less reliable signals in choppy or ranging market conditions.
Utilize sound risk management principles, such as setting appropriate stop-loss and take-profit levels, when trading based on the Market Structure RSI signals.
The Market Structure RSI offers a fresh perspective on the classic RSI indicator by incorporating market structure analysis. By combining the power of RSI with the identification of higher highs and lower lows, this indicator provides traders with a valuable tool for identifying potential trend reversals and trading opportunities. Whether you are a seasoned trader or just starting out, the Market Structure RSI can be a valuable addition to your technical analysis toolkit.
TrippleMACDCryptocurrency Scalping Strategy for 1m Timeframe
Introduction:
Welcome to our cutting-edge cryptocurrency scalping strategy tailored specifically for the 1-minute timeframe. By combining three MACD indicators with different parameters and averaging them, along with applying RSI, we've developed a highly effective strategy for maximizing profits in the cryptocurrency market. This strategy is designed for automated trading through our bot, which executes trades using hooks. All trades are calculated for long positions only, ensuring optimal performance in a fast-paced market.
Key Components:
MACD (Moving Average Convergence Divergence):
We've utilized three MACD indicators with varying parameters to capture different aspects of market momentum.
Averaging these MACD indicators helps smooth out noise and provides a more reliable signal for trading decisions.
RSI (Relative Strength Index):
RSI serves as a complementary indicator, providing insights into the strength of bullish trends.
By incorporating RSI, we enhance the accuracy of our entry and exit points, ensuring timely execution of trades.
Strategy Overview:
Long Position Entries:
Initiate long positions when all three MACD indicators signal bullish momentum and the RSI confirms bullish strength.
This combination of indicators increases the probability of successful trades, allowing us to capitalize on uptrends effectively.
Utilizing Linear Regression:
Linear regression is employed to identify consolidation phases in the market.
Recognizing consolidation periods helps us avoid trading during choppy price action, ensuring optimal performance.
Suitability for Grid Trading Bots:
Our strategy is well-suited for grid trading bots due to frequent price fluctuations and opportunities for grid activation.
The strategy's design accounts for price breakthroughs, which are advantageous for grid trading strategies.
Benefits of the Strategy:
Consistent Performance Across Cryptocurrencies:
Through rigorous testing on various cryptocurrency futures contracts, our strategy has demonstrated favorable results across different coins.
Its adaptability makes it a versatile tool for traders seeking consistent profits in the cryptocurrency market.
Integration of Advanced Techniques:
By integrating multiple indicators and employing linear regression, our strategy leverages advanced techniques to enhance trading performance.
This strategic approach ensures a comprehensive analysis of market conditions, leading to well-informed trading decisions.
Conclusion:
Our cryptocurrency scalping strategy offers a sophisticated yet user-friendly approach to trading in the fast-paced environment of the 1-minute timeframe. With its emphasis on automation, accuracy, and adaptability, our strategy empowers traders to navigate the complexities of the cryptocurrency market with confidence. Whether you're a seasoned trader or a novice investor, our strategy provides a reliable framework for achieving consistent profits and maximizing returns on your investment.
RS for VPAThis is a supporting Indicator for the Volume Price Analysis Script VPA 5.0.
Purpose
To indicate the performance of the stock compared to an Index or any other selected stock. It also provides an idea about the strength of the Reference Index as well.
Description
The indicator is an unbound oscillator moving around a zero line. If the stock is strong then the values are positive and if it is weak the values are negative. If the stock is performing better (Stronger) than the Index the indicator is positive and colored green. If the stock is weaker than the Index it is negative and is colored Red.
The background indicates the strength of the Reference Index/Stock. Bullishness/up trend of the Index/Stock is indicated by yellow colour. Short term uptrend, Mid term uptrend and Long term trends are indicated by different shades of yellow varying from light to Dark. The bearishness / down trend is indicated by blue back ground.
How it Works
The relative strength is calculated by using the formula
RS = Gain of the stock / (Gain of the Ref. Index -1)
= (Stock Price today / Stock Price (N period ago)) /
(Index Price today / Index price (N period ago)) – 1
The Index strength is calculated as below
Short term trend up = 5 ema > 22 ema
Mid Term trend up = 22 ema > 60 ema
Long term trend up = 60 ema > 130 ema
Trend down = 5 ema < 22 ema
How to use
Use this indicator to assist your Price Action Analysis using VPA 5.0. When the Price action and volume indicates Bullishness, you can check if the relative strength is also supporting (Positive and in green Territory). This adds credibility to the Price action. Also check if the index is also positive (the Back ground is yellow). This makes the Price action even stronger. Ideally both the stock and index should be strong. Many time you would find the that the stock is in green territory but the index is in blue territory. This calls for some caution in evaluating the Price Action.
When the price action is positive but the relative strength is negative then one should be cautious and wait for the relative strength to turn positive before any entry decision.
Option for the Indicator
One can select the following from the setting for the indicator
1. Index or reference stock – Default is CNX 500
2. Relative Strength Calculation period – Default is 22
3. The EMA periods for the Index/Reference stock strength calculation
Market trend based on ema strengthThis script is a trading indicator written in Pine Script, a domain-specific language used for creating custom technical analysis indicators and strategies on the TradingView platform. Let's break down what this script is doing and its potential usage:
Title and Overlay:
The indicator is given a title: "Market trend based on ema strength."
The overlay=true parameter ensures that the indicator is plotted on the price chart itself, overlaying the price data.
EMA Calculations:
Exponential Moving Averages (EMAs) are calculated for different time periods based on the closing prices.
Degree of Change Calculation:
The degree of change is calculated as the percentage difference between the closing price and each respective EMAs.
Trend Identification:
The script attempts to identify uptrends and downtrends based on the comparison of degree of change values across the different EMAs. For an uptrend, each subsequent EMA's degree of change should be greater than the previous one, and for a downtrend, it should be lower.
EMA and RSI Calculation:
Additional EMAs and the Relative Strength Index (RSI) are calculated.
Buy and Sell Signal Generation:
Buy signals are generated when certain conditions are met: an uptrend is detected, the previous close is below the additional EMAs, and the current close is above the additional EMAs.
Sell signals are generated in the opposite scenario: a downtrend is detected, the previous close is above the additional EMAs, and the current close is below the additional EMAs.
Visualization:
The script uses plotshape to visually indicate buy and sell signals on the chart as labels.
The background color of the chart is changed based on the detected trend
Usage:
This indicator is designed to assist traders in identifying potential buy and sell signals based on trends in EMAs, RSI, and price movement. It provides a visual representation of trend changes and generates signals when certain conditions align, helping traders make informed decisions about entering or exiting positions.
It's important to note that while this script provides an automated approach to identifying trends and generating signals, successful trading also requires a deep understanding of the market, risk management, and the application of multiple indicators and strategies. Traders should thoroughly backtest and validate any trading strategy before applying it in real trading scenarios.
EMA Power BandsHello!
Today, I am delighted to introduce you to the "EMA Power Bands" indicator, designed to assist in identifying buying and selling points for assets moving in the markets.
Key Features of the Indicator:
EMA Bands: "EMA Power Bands" utilizes Exponential Moving Average (EMA) to create trend lines. These bands automatically expand or contract based on the price trend, adapting to market conditions.
ATR-Based Volatility: The indicator measures price volatility using the Average True Range (ATR) indicator, adjusting the width of the EMA bands accordingly. As a result, wider bands form during periods of increased volatility, while they narrow during lower volatility.
RSI-Based Buy-Sell Signals: "EMA Power Bands" uses the Relative Strength Index (RSI) to identify overbought and oversold zones. Entering the overbought zone generates a sell signal, while entering the oversold zone produces a buy signal.
Trend Direction Identification: The indicator assists in determining the price trend direction by analyzing the slope of the EMA bands. This allows you to identify periods of uptrends and downtrends.
Visualization of Buy-Sell Signals: "EMA Power Bands" visually marks the buy and sell signals:
- When RSI enters the overbought zone, it displays a sell signal (🪫).
- When RSI enters the oversold zone, it indicates a buy signal (🔋).
- When a candle closes above the emaup line, it displays a bearish signal (🔨).
- When a candle closes below the emadw line, it indicates a bullish signal (🚀).
By using the "EMA Power Bands" (EMA Güç Bantları) indicator, especially in trend-following strategies and periods of volatility, you can make more informed and disciplined trading decisions. However, I recommend using it in conjunction with other technical analysis tools and fundamental data.
*You can also use it with CCI as an example.
With this indicator, you can identify potential trend reversals in advance and strengthen your risk management strategies.
So, go ahead and try the "EMA Power Bands" (EMA Güç Bantları) indicator to enhance your technical analysis skills and make more informed trading decisions!
Volume-Weighted RSI with Adaptive SmoothingThis indicator is designed to provide traders with insights into the relative strength of a security by incorporating volume-weighted elements, effectively combining the concepts of Relative Strength Index (RSI) and volume-weighted averages to generate meaningful trading signals.
The indicator calculates the traditional RSI, which measures the speed and change of price movements, as well as the volume-weighted RSI, which considers the influence of trading volume on price action. It then applies adaptive smoothing to the volume-weighted RSI, allowing for customization of the smoothing process. The resulting smoothed volume-weighted RSI is plotted alongside the original RSI, providing traders with a comprehensive view of the price strength dynamics.
The line coloration in this indicator is designed to provide visual cues about the relationship between the RSI and the volume-weighted RSI. When the RSI line is above or equal to the volume-weighted RSI line, it suggests a potentially bullish condition with positive market momentum. In such cases, the line is colored lime. Conversely, when the RSI line (fuchsia) is below the volume-weighted RSI line, it indicates a potentially bearish condition with negative market momentum. The line color is set to fuchsia. By observing the line color, traders can quickly assess the relative strength between the RSI and the volume-weighted RSI, aiding their decision-making process.
The bar color and background color further enhance the visual interpretation of the indicator. The bar color reflects the RSI's relationship with the volume-weighted RSI and the predefined thresholds. If the RSI line is above both the volume-weighted RSI line and the overbought threshold (70), the bar color is set to lime, indicating a potentially overbought condition. Conversely, if the RSI line is below both the volume-weighted RSI line and the oversold threshold (30), the bar color is set to fuchsia, suggesting a potentially oversold condition. When the RSI line is between these two thresholds, the bar color is set to yellow, indicating a neutral or intermediate state. The background color, displayed with a semi-transparent shade, provides additional context by reflecting the prevailing market conditions. It turns lime if the volume-weighted RSI is above the overbought threshold, fuchsia if below the oversold threshold, and yellow if it falls between these two thresholds. This coloration scheme aids traders in quickly assessing market conditions and potential trading opportunities.
Calculations:
-- RSI Calculation : The traditional RSI is calculated based on the price movements of the asset. The up and down movements are determined, and exponential moving averages are used to smooth the values. The RSI value ranges from 0 to 100, with levels above 70 indicating overbought conditions and levels below 30 indicating oversold conditions.
-- Volume-Weighted RSI Calculation : The volume-weighted RSI incorporates the trading volume of the asset into the calculations. The closing price is multiplied by the corresponding volume, and the average is taken over a specific length. The up and down movements are smoothed using exponential moving averages to generate the volume-weighted RSI value.
-- Adaptive Smoothing : The indicator offers an adaptive smoothing option, allowing traders to customize the smoothing process of the volume-weighted RSI. By adjusting the smoothing length, traders can fine-tune the responsiveness of the indicator to changes in market conditions. Smoothing helps reduce noise and enhances the clarity of the signals.
Interpretation:
The indicator provides two main components for interpretation:
-- RSI : The traditional RSI reflects the price momentum and potential overbought or oversold conditions. Traders can look for RSI values above 70 as potential overbought signals, suggesting a possible price reversal or correction. Conversely, RSI values below 30 indicate potential oversold signals, indicating a potential price rebound or rally.
-- Volume-Weighted RSI : The volume-weighted RSI incorporates trading volume, which provides insights into the strength of price movements. When the volume-weighted RSI is above the traditional RSI, it suggests that the buying pressure supported by higher volume is stronger, potentially indicating a more reliable trend. Conversely, when the volume-weighted RSI is below the traditional RSI, it suggests that the selling pressure supported by higher volume is stronger, potentially indicating a more significant price reversal.
Potential Strategies:
-- Overbought and Oversold Signals : Traders can utilize the RSI component of the indicator to identify overbought and oversold conditions. A potential strategy is to consider taking short positions when the RSI is above 70 and long positions when the RSI is below 30. These levels can act as dynamic support and resistance areas, indicating possible price reversals.
-- Confirmation with Volume : Traders can use the volume-weighted RSI as a confirmation tool to validate price movements. When the volume-weighted RSI is above the traditional RSI, it may provide additional confirmation for long positions, suggesting stronger buying pressure. Conversely, when the volume-weighted RSI is below the traditional RSI, it may provide confirmation for short positions, indicating stronger selling pressure.
-- Trend Reversal Strategy : Watch for the volume-weighted RSI to reach extreme levels above 70 (overbought) or below 30 (oversold). Look for a reversal signal where the RSI line (green or fuchsia) crosses below or above the volume-weighted RSI line. Enter a trade when the reversal signal occurs, and the RSI line changes color. Exit the trade when the RSI line crosses back in the opposite direction or reaches the opposite extreme level.
-- Divergence Strategy : Compare the direction of the RSI line (green or fuchsia) with the volume-weighted RSI line. A bullish divergence occurs when the RSI line makes higher lows while the volume-weighted RSI line makes lower lows. A bearish divergence occurs when the RSI line makes lower highs while the volume-weighted RSI line makes higher highs. Once a divergence is identified, wait for the RSI line to cross above or below the volume-weighted RSI line as confirmation of a potential trend reversal. Consider using additional indicators or price action analysis to time the entry more accurately. Use stop-loss orders and profit targets to manage risk and secure profits.
-- Trend Continuation Strategy : Assess the overall trend direction by observing the RSI line's position relative to the volume-weighted RSI line. When the RSI line consistently stays above the volume-weighted RSI line, it indicates a bullish trend, while the opposite suggests a bearish trend. Look for temporary pullbacks within the ongoing trend where the RSI line (green or fuchsia) touches or crosses the volume-weighted RSI line. Enter trades in the direction of the dominant trend when the RSI line crosses back in the trend direction. Exit the trade when the RSI line starts to deviate significantly from the volume-weighted RSI line or when the trend shows signs of weakening through other technical or fundamental factors.
Limitations:
-- False Signals : Like any indicator, the "Volume-Weighted RSI with Adaptive Smoothing" may produce false signals, especially during periods of low liquidity or choppy market conditions. Traders should exercise caution and consider using additional confirmation indicators or tools to validate the signals generated by this indicator.
-- Lagging Nature : The indicator relies on historical price data and volume to calculate the RSI and volume-weighted RSI. As a result, the signals provided may have a certain degree of lag compared to real-time price action. Traders should be aware of this inherent lag and consider combining the indicator with other timely indicators to enhance the accuracy of their trading decisions.
-- Parameter Sensitivity : The indicator's effectiveness can be influenced by the choice of parameters, such as the length of the RSI, smoothing length, and adaptive smoothing option. Different market conditions may require adjustments to these parameters to optimize performance. Traders are encouraged to conduct thorough testing and analysis to determine the most suitable parameter values for their specific trading strategies and preferences.
-- Market Conditions : The indicator's performance may vary depending on the prevailing market conditions. It is essential to understand that no indicator can guarantee accurate predictions or consistently profitable trades. Traders should consider the broader market context, fundamental factors, and other technical indicators to complement the insights provided by the "Volume-Weighted RSI with Adaptive Smoothing" indicator.
-- Subjectivity : Interpretation of the indicator's signals involves subjective judgment. Traders may have varying interpretations of overbought and oversold levels, as well as the significance of the volume-weighted RSI in relation to the traditional RSI. It is crucial to combine the indicator with personal analysis and trading experience to make informed trading decisions.
Remember, no single indicator can provide foolproof trading signals. The "Volume-Weighted RSI with Adaptive Smoothing" indicator serves as a valuable tool for analyzing price strength and volume dynamics. It can assist traders in identifying potential entry and exit points, validating trends, and managing risk. However, it should be used as part of a comprehensive trading strategy that considers multiple factors and indicators to increase the likelihood of successful trades.
Forex RadarForex Radar Indicator: A Powerful Tool for Analyzing Currency Strength and Weakness
Introduction
The Forex Radar Indicator is an innovative tool that provides a visual representation of the relative strength and weakness of various currencies in the Forex market. This indicator is designed to help traders identify potential trading opportunities by analyzing the performance of different currency pairs. In this blog post, we will explore the features and benefits of the Forex Radar Indicator, and explain how to use it effectively in your trading strategy.
Features of the Forex Radar Indicator
1. Spider Plot Visualization
The Forex Radar Indicator uses a spider plot to display the relative strength and weakness of various currencies. A spider plot is a graphical representation of multivariate data, in which each variable is plotted on a separate axis that radiates from the center of the plot. The data points are connected by lines, forming a web-like pattern that makes it easy to compare the performance of different currencies.
2. Customizable Color Scheme
The Forex Radar Indicator allows users to customize the color scheme for each currency, making it easy to identify individual currencies on the spider plot. This feature can be particularly helpful for traders who prefer specific colors for each currency, or who want to use a color scheme that matches their trading platform or charting tools.
3. EMA Divergence and RSI Style Selection
The Forex Radar Indicator offers users the flexibility to choose between two different styles: EMA divergence and RSI. The EMA divergence style displays the difference between a short-term and long-term exponential moving average, while the RSI style shows the relative strength index of the currency pairs. By selecting the preferred style, traders can customize the indicator to suit their specific trading style and strategy.
4. Flexible Input Parameters
The Forex Radar Indicator offers flexible input parameters, allowing users to customize the indicator according to their trading preferences. These parameters include the length of the moving average, the filter value for the moving average, and the normalization length. By adjusting these parameters, traders can fine-tune the indicator to suit their specific trading style and strategy.
Using the Forex Radar Indicator in Your Trading Strategy
The Forex Radar Indicator can be a valuable tool in any trading strategy, as it provides a visual representation of the currency strength and weakness. Here are some tips on how to use the Forex Radar Indicator effectively in your trading:
1. Identify Currency Strength and Weakness
The main purpose of the Forex Radar Indicator is to help traders identify the strength and weakness of various currencies. By analyzing the spider plot, traders can quickly determine which currencies are performing well and which are underperforming. This information can be used to identify potential trading opportunities, as traders can focus on currency pairs that feature a strong currency against a weak one.
2. Choose Between EMA Divergence and RSI Style
Depending on your trading style and strategy, you can choose between the EMA divergence and RSI style options provided by the Forex Radar Indicator. Both styles offer valuable insights into currency strength and weakness, but they may highlight different aspects of the market. By selecting the style that best aligns with your trading approach, you can maximize the effectiveness of the indicator in your trading strategy.
3. Combine with Other Technical Analysis Tools
While the Forex Radar Indicator provides valuable insights into currency strength and weakness, it is important to remember that no single indicator can provide a complete picture of the market. To improve the accuracy and effectiveness of your trading strategy, consider combining the Forex Radar Indicator with other technical analysis tools, such as trend lines, support and resistance levels, and other indicators.
Conclusion
The Forex Radar Indicator is a powerful tool that can help traders gain a better understanding of the relative strength and weakness of various currencies in the Forex market. By incorporating the Forex Radar Indicator into your trading strategy, you can quickly identify potential trading opportunities and make more informed trading decisions. With its customizable color scheme, EMA divergence and RSI style options, and flexible input parameters, the Forex Radar Indicator is a versatile tool that can be adapted to suit any trading style or strategy.
Synthetic, Smoothed Variety RSI [Loxx]Synthetic, Smoothed Variety RSI is an RSI indicator that combines three RSI calculations into one to create a synthetic RSI output.
How this is done:
1. Three EMAs are created using different period inputs
2. Three RSIs are created using different period inputs and the EMA output from the first step
3. These three RSIs are averaged to create the Synthetic, Smoothed Variety RSI
This indicator contains 7 different types of RSI:
RSX
Regular
Slow
Rapid
Harris
Cuttler
Ehlers Smoothed
What is RSI?
RSI stands for Relative Strength Index . It is a technical indicator used to measure the strength or weakness of a financial instrument's price action.
The RSI is calculated based on the price movement of an asset over a specified period of time, typically 14 days, and is expressed on a scale of 0 to 100. The RSI is considered overbought when it is above 70 and oversold when it is below 30.
Traders and investors use the RSI to identify potential buy and sell signals. When the RSI indicates that an asset is oversold, it may be considered a buying opportunity, while an overbought RSI may signal that it is time to sell or take profits.
It's important to note that the RSI should not be used in isolation and should be used in conjunction with other technical and fundamental analysis tools to make informed trading decisions.
What is RSX?
Jurik RSX is a technical analysis indicator that is a variation of the Relative Strength Index Smoothed ( RSX ) indicator. It was developed by Mark Jurik and is designed to help traders identify trends and momentum in the market.
The Jurik RSX uses a combination of the RSX indicator and an adaptive moving average (AMA) to smooth out the price data and reduce the number of false signals. The adaptive moving average is designed to adjust the smoothing period based on the current market conditions, which makes the indicator more responsive to changes in price.
The Jurik RSX can be used to identify potential trend reversals and momentum shifts in the market. It oscillates between 0 and 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend . Traders can use these levels to make trading decisions, such as buying when the indicator crosses above 50 and selling when it crosses below 50.
The Jurik RSX is a more advanced version of the RSX indicator, and while it can be useful in identifying potential trade opportunities, it should not be used in isolation. It is best used in conjunction with other technical and fundamental analysis tools to make informed trading decisions.
What is Slow RSI?
Slow RSI is a variation of the traditional Relative Strength Index ( RSI ) indicator. It is a more smoothed version of the RSI and is designed to filter out some of the noise and short-term price fluctuations that can occur with the standard RSI .
The Slow RSI uses a longer period of time than the traditional RSI , typically 21 periods instead of 14. This longer period helps to smooth out the price data and makes the indicator less reactive to short-term price fluctuations.
Like the traditional RSI , the Slow RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Slow RSI is a more conservative version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also be slower to respond to changes in price, which may result in missed trading opportunities. Traders may choose to use a combination of both the Slow RSI and the traditional RSI to make informed trading decisions.
What is Rapid RSI?
Same as regular RSI but with a faster calculation method
What is Harris RSI?
Harris RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by Larry Harris and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Harris RSI uses a different calculation formula compared to the traditional RSI . It takes into account both the opening and closing prices of a financial instrument, as well as the high and low prices. The Harris RSI is also normalized to a range of 0 to 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend .
Like the traditional RSI , the Harris RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Harris RSI is a more advanced version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Harris RSI and the traditional RSI to make informed trading decisions.
What is Cuttler RSI?
Cuttler RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by Curt Cuttler and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Cuttler RSI uses a different calculation formula compared to the traditional RSI . It takes into account the difference between the closing price of a financial instrument and the average of the high and low prices over a specified period of time. This difference is then normalized to a range of 0 to 100, with values above 50 indicating a bullish trend and values below 50 indicating a bearish trend .
Like the traditional RSI , the Cuttler RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Cuttler RSI is a more advanced version of the RSI and can be useful in identifying longer-term trends in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Cuttler RSI and the traditional RSI to make informed trading decisions.
What is Ehlers Smoothed RSI?
Ehlers smoothed RSI is a technical analysis indicator that is a variation of the Relative Strength Index ( RSI ). It was developed by John Ehlers and is designed to help traders identify potential trend changes and momentum shifts in the market.
The Ehlers smoothed RSI uses a different calculation formula compared to the traditional RSI . It uses a smoothing algorithm that is designed to reduce the noise and random fluctuations that can occur with the standard RSI . The smoothing algorithm is based on a concept called "digital signal processing" and is intended to improve the accuracy of the indicator.
Like the traditional RSI , the Ehlers smoothed RSI is used to identify potential overbought and oversold conditions in the market. It oscillates between 0 and 100, with values above 70 indicating overbought conditions and values below 30 indicating oversold conditions. Traders often use these levels as potential buy and sell signals.
The Ehlers smoothed RSI can be useful in identifying longer-term trends and momentum shifts in the market. However, it can also generate more false signals than the standard RSI . Traders may choose to use a combination of both the Ehlers smoothed RSI and the traditional RSI to make informed trading decisions.
Extras
Alerts
Signals
Loxx's Expanded Source Types, see here:
AntaresLibrary "Antares"
this library contains some utility functions that I use in my open source scripts including moving average helpers, candlstick helpers, money management, formatters, convertors, webhook integration, analysis, filters and drawing helpers
ma(type, length, source)
Wraps all ma functions
Parameters:
type : Either SMA or EMA or RMA or WMA or VWMA
length : Number of bars (length).
source : Series of values to process.
Returns: Moving average of `source` for `length` bars back by the of MA.
bb(ma, length, mult, source)
Overwrites `ta.bb` duo to limitations of simple int.float mult. Bollinger Bands. A Bollinger Band is a technical analysis tool defined by a set of lines plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of the security's price, but can be adjusted to user preferences.
Parameters:
ma : Either SMA or EMA or RMA or WMA or VWMA
length : Number of bars (length).
mult : Standard deviation factor.
source : Series of values to process.
Returns: Bollinger Bands.
atr(length, h, l, c)
Overwrites `ta.atr` duo to limitations of simple int length. Function atr (average true range) returns the RMA of true range. True range is max(high - low, abs(high - close ), abs(low - close )).
Parameters:
length : Number of bars (length).
h : High price high price.
l : low price.
c : Close price close price.
Returns: Average true range.
rsi(length, source)
Overwrites `ta.rsi` duo to limitations of simple int length. Relative strength index. It is calculated using the `ta.rma()` of upward and downward changes of `source` over the last `length` bars.
Parameters:
length : Number of bars (length).
source : Series of values to process.
Returns: Relative strength index.
lowest(length, source, start)
Lowest value for a given number of bars back.
Parameters:
length : Number of bars (length).
source : Series of values to process.
start : Series number of bars that should be skipped before process.
Returns: Lowest value in the series.
highest(length, source, start)
Highest value for a given number of bars back.
Parameters:
length : Number of bars (length).
source : Series of values to process.
start : Series number of bars that should be skipped before process.
Returns: Highest value in the series.
atr_multiplier(rsi, atr_max_multiplier)
Dynamic atr multiplier calculated by RSI.
Parameters:
rsi : Relative strength index.
atr_max_multiplier : The maximum multiplier of atr
Returns: Dynamic multiplier of ATR
offset(atr, atr_multiplier)
Safe dynamic offset you need to use in your stoploss, stop buy/sell, etc.
Parameters:
atr : Average true range.
atr_multiplier : ATR multiplier got from `atr_multiplier(rsi, atr_max_multiplier)`
Returns: Dynamic offset
rsi_emotional(rsi, bottom, top)
Tells you if RSI is in emotional zone.
Parameters:
rsi : Relative Strength Index
bottom : The zone that below it market reacts emotionally
top : The zone that above it market reacts emotionally
Returns: false if RSI was between `bottom` and `top` otherwise true
rsi_signal(rsi, bottom, top)
Tells you if RSI is in good point to check your other strategy conditions.
Parameters:
rsi : Relative Strength Index
bottom : The zone that below it market reacts emotionally
top : The zone that above it market reacts emotionally
Returns: 1 if RSI crossed out 30, 50 or 70. -1 if RSI crossed under 70, 50, 30. otherwise is 0
Global & local RSI / quantifytoolsAs the terms global and local imply, global RSI describes broad relative strength, whereas local RSI describes local relative strength within the broad moves. A macro and micro view of relative strength so to speak. Global and local RSI are simply regular RSI and stochastic RSI. Local RSI extremes ( stochastic RSI oversold/overbought) often mark a pivot in RSI which naturally reflects to price. Local RSI extremes are visualized inside the global RSI bands (upper band for overbought, lower band for oversold) in a "heat map" style.
By default:
Stochastic RSI >= 75 = yellow
Stochastic RSI >= 87 = orange
Stochastic RSI >= 100 = pink
Users also have the ability smooth the RSI with their preferred smoothing method ( SMA , EMA , HMA , RMA, WMA ) and length. This leads to different behavior in RSI, rendering the typical RSI extremes (> 70 or < 30) suboptimal or even useless. By enabling adaptive bands, the extremes are readjusted based on typical RSI pivot points (median pivots ), which gives much more relevant reference points for oversold/overbought conditions in both global and local RSI. This feature can be used without smoothing, but it rarely provides a meaningful difference, unless the RSI calculation length is messed with.
Global RSI can be plotted as candles, bars or a line. Candles and bars can be useful for detecting rejections (wicks) in relative strength, the same you would with OHLC data. Sometimes there are "hidden rejections" that are visible in relative strength but not on OHLC data, which naturally gives an advantage. All colors can be adjusted in the input menu. You also have a real-time view of the current RSI states in top right corner. Available alerts are the following: global RSI overbought, global RSI oversold, local RSI overbought and local RSI oversold.
Divergence for Many Panel (D4MP+)Divergence for Many Panel (D4MP+)
This Divergence for Many Panel indicator is built upon the realtme divergence drawing code originally authored by LonesomeTheBlue, now in the form of a panel indicator.
The available oscillators, hand picked for their ability to identify high quality divergences currently include:
- Ultimate Oscillator (UO)
- True Strength Index (TSI)
- Money Flow Index (MFI)
- Relative Strength Index (RSI)
- Stochastic RSI
- Time Segmented Volume (TSV)
- Cumulative Delta Volume (CDV)
Note : this list of available oscillators may be added to or altered at a later date.
The indicator includes the following features:
- Ability to select any of the above oscillators
- Optional divergence lines drawn directly onto the oscillator in realtime .
- Configurable alerts to notify you when divergences occur.
- Configurable pivot lookback periods to fine tune the divergences drawn in order to suit different trading styles and timeframes, including the ability to enable automatic adjustment of pivot period per chart timeframe.
- Background colouring option to indicate when the selected oscillator has crossed above or below its centerline.
- Alternate timeframe feature allows you to configure the oscillator to use data from a different timeframe than the chart it is loaded on.
- Oscillator name label, so you can clearly see which oscillator is selected, in the case you have multiple loaded onto a chart.
- Optional adjustable range bands.
- Automatic adjustment of line colours, centerlines and range band levels on a per oscillator basis by default.
- Ability to customise the colours of each of the oscillators.
What is the Ultimate Oscillator ( UO )?
“The Ultimate Oscillator indicator (UO) indicator is a technical analysis tool used to measure momentum across three varying timeframes. The problem with many momentum oscillators is that after a rapid advance or decline in price, they can form false divergence trading signals. For example, after a rapid rise in price, a bearish divergence signal may present itself, however price continues to rise. The ultimate Oscillator attempts to correct this by using multiple timeframes in its calculation as opposed to just one timeframe which is what is used in most other momentum oscillators.”
What is the True Strength Index ( TSI )?
"The true strength index (TSI) is a technical momentum oscillator used to identify trends and reversals. The indicator may be useful for determining overbought and oversold conditions, indicating potential trend direction changes via centerline or signal line crossovers, and warning of trend weakness through divergence."
What is the Money Flow Index ( MFI )?
“The Money Flow Index ( MFI ) is a technical oscillator that uses price and volume data for identifying overbought or oversold signals in an asset. It can also be used to spot divergences which warn of a trend change in price. The oscillator moves between 0 and 100. Unlike conventional oscillators such as the Relative Strength Index ( RSI ), the Money Flow Index incorporates both price and volume data, as opposed to just price. For this reason, some analysts call MFI the volume-weighted RSI .”
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. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition. It is also commonly used to identify divergences."
What is the Stochastic RSI (StochRSI)?
"The Stochastic RSI (StochRSI) is an indicator used in technical analysis that ranges between zero and one (or zero and 100 on some charting platforms) and is created by applying the Stochastic oscillator formula to a set of relative strength index (RSI) values rather than to standard price data. Using RSI values within the Stochastic formula gives traders an idea of whether the current RSI value is overbought or oversold. The StochRSI oscillator was developed to take advantage of both momentum indicators in order to create a more sensitive indicator that is attuned to a specific security's historical performance rather than a generalized analysis of price change."
What Is Time Segmented Volume?
"Time segmented volume (TSV) is a technical analysis indicator developed by Worden Brothers Inc. that segments a stock's price and volume according to specific time intervals. The price and volume data is then compared to uncover periods of accumulation (buying) and distribution (selling)."
What is Cumulative Volume Delta ( CDV )?
"The CDV analyses the net buying at market price and net selling at market price. This means, that volume delta is measuring whether it is the buyers or sellers that are more aggressive in taking the current market price. It measures the degree of intent by buyers and sellers, which can be used to indicate who is more dominant. The CDV can be used to help identify possible trends and also divergences"
What are divergences?
Divergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction.
There are 4 main types of divergence, which are split into 2 categories;
regular divergences and hidden divergences. Regular divergences indicate possible trend reversals, and hidden divergences indicate possible trend continuation.
Regular bullish divergence: An indication of a potential trend reversal, from the current downtrend, to an uptrend.
Regular bearish divergence: An indication of a potential trend reversal, from the current uptrend, to a downtrend.
Hidden bullish divergence: An indication of a potential uptrend continuation.
Hidden bearish divergence: An indication of a potential downtrend continuation.
Setting alerts.
With this indicator you can set alerts to notify you when any/all of the above types of divergences occur, on any chart timeframe you choose.
Configurable pivot periods.
You can adjust the default pivot periods to suit your prefered trading style and timeframe. If you like to trade a shorter time frame, lowering the default lookback values will make the divergences drawn more sensitive to short term price action.
How do traders use divergences in their trading?
A divergence is considered a leading indicator in technical analysis , meaning it has the ability to indicate a potential price move in the short term future.
Hidden bullish and hidden bearish divergences, which indicate a potential continuation of the current trend are sometimes considered a good place for traders to begin, since trend continuation occurs more frequently than reversals, or trend changes.
When trading regular bullish divergences and regular bearish divergences, which are indications of a trend reversal, the probability of it doing so may increase when these occur at a strong support or resistance level . A common mistake new traders make is to get into a regular divergence trade too early, assuming it will immediately reverse, but these can continue to form for some time before the trend eventually changes, by using forms of support or resistance as an added confluence, such as when price reaches a moving average, the success rate when trading these patterns may increase.
Typically, traders will manually draw lines across the swing highs and swing lows of both the price chart and the oscillator to see whether they appear to present a divergence, this indicator will draw them for you, quickly and clearly, and can notify you when they occur.
Disclaimer : This script includes code from several stock indicators by Tradingview as well as the Divergence for Many Indicators v4 by LonesomeTheBlue. With special thanks.
TASC 2022.10 RS VA EMA█ OVERVIEW
TASC's October 2022 edition Traders' Tips includes the second part of the "Relative Strength Moving Averages" article series authored by Vitali Apirine. This is the code that implements the Relative Strength Volume-Adjusted Exponential Moving Average (RS VA EMA) presented in this publication.
█ CONCEPTS
In his article series, the author argues that the relative strength of price, volume, and volatility can potentially be used to filter price movements and define turning points. In particular, the RS VA EMA indicator is designed to account for the relative strength of volume. Like the traditional exponential moving average (EMA) , it is a lagging trend-following indicator. The difference is that it responds more quickly.
In a trading strategy, RS VA EMA is suggested to be used in combination with EMA of the same length to determine the overall trend or in combination with RS VA EMA of a different length to identify turning points and filter price movements.
█ CALCULATIONS
The calculation of RS VA EMA is based on the concept of volume strength (VS). By definition, VS measures the difference between "positive" and "negative" volume flow. Volume is indicated as "positive" when the close is higher than the previous close and "negative" when the close is below the previous close.
The following steps are used in the calculation process:
• Calculate the volume strength (VS) of a given length.
• Multiply VS by a predefined multiplier and calculate the EMA of the resulting time series.
The values of 10,10,10 are the typical input settings for RS VA EMA, where the first parameter is the length of the moving average, the second is the length of VS, and the third is the volume strength multiplier.
Alpha Relative Strength IndexA bullish signal on the RSI indicator signals that price did not move in sync with the RSI; price moved low, but the RSI moved less. This bullish divergence is an indication of strengthening momentum. A bearish signal on the RSI indicator signals that price and RSI are not in sync
RSI Support & Resistance by DGTRSI Sᴜᴘᴘᴏʀᴛ & Rᴇꜱɪꜱᴛᴀɴᴄᴇ ʙʏ DGT
This experimental study attempts to translate Relative Strength Index (RSI) threshold levels of oversold/overbought and bull/bear zones as probable Price Support and Resistance levels
█ OPTIONS
Support & Resistance Levels , the main aim of the study. Level calculations are based on Relative Strength Index (RSI) threshold levels of oversold/overbought and bull/bear zones, where all threshold values are customizable through the user dialog box. Background of the levels can be colored optionally
RSI Weighted Colored Bars and/or Mark Overbought/Oversold Bars , Bar colors can be painted to better emphasis RSI values. Darker colors when the oscillator is in oversold/overbought zones, light colors when oscillator readings are below/above the bull/bear zone respectively, and remain unchanged otherwise. Besides the colors, with “Display RSI Overbought/Oversold Price Bars” option little triangle shapes can be plotted on top or bottom of the bars when RSI is in oversold/overbought zones
Example usage of the study with explanations
█ OTHERS
More regarding Support & Resistance concept (definition, identifying levels, trading S&R, etc) you are kindly invited to check my previous publication
Price Action - Support & Resistance by DGT
More regarding Relative Strength Index (RSI) and Relative Strength of Volume Indicators , please check Relative Strength of Volume Indicators by DGT
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
[blackcat] L2 Ehlers DFT-Adapted RSILevel: 2
Background
John F. Ehlers introuced his DFT-ADAPTED RELATIVE STRENGTH INDEX (RSI) in Jan, 2007.
Function
In "Fourier Transform For Traders" in Jan, 2007, John Ehlers presented an interesting technique of improving the resolution of spectral analysis that could be used to effectively measure market cycles. Better resolution is obtained by a surprisingly simple modification of the discrete Fourier transform. John Ehlers suggests using the discrete Fourier transform (DFT) to tune indicators. Here, I demonstrate this by building a DFT-adapted relative strength index (RSI) strategy.
Rather than display the RSI for a single cycle length across the entire chart, Ehlers DFT adaptive RSI value reflects the DFT-calculated dominant cycle length RSI. If the dominant cycle changes from 14 to 18 bars, the RSI length parameter changes accordingly. Computationally, this requires the strategy to continuously update values for all possible RSI cycle lengths via a "for" loop and array.
In details, a full-featured formula that implements a high-pass filter (HP) and a six-tap low-pass finite impulse response (FIR) filter on input, then does discrete Fourier transform calculations. I has taken liberty of adding extra parameters so the user can modify the analysis window length and the high-pass filter cutoff frequency in real time using the parameters window. Once the suite of possible RSI values is calculated, we use the DFT to select the relevant RSI for the current bar. The strategy then trades according to J. Welles Wilder's original rules for the RSI.
Key Signal
fastline--> DFT-ADAPTED RELATIVE STRENGTH INDEX (RSI) fast line
slowline--> DFT-ADAPTED RELATIVE STRENGTH INDEX (RSI) slow line
Pros and Cons
100% John F. Ehlers definition translation, even variable names are the same. This help readers who would like to use pine to read his book.
Remarks
The 71th script for Blackcat1402 John F. Ehlers Week publication.
Based on original work of Ehlers, I added ALMA smoothing on DFT-adapted relative strength index (RSI) so that clearer trend can be observed.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Currency Group Stochastic (Dual Timeframe)
This is a stochastic for an entire currency group (majors and crosses). So if you are wondering whether the entire group will reverse this might help. For example, if you are think the USD group will roll over you can see an amalgamated stochastic of AUDUSD, NZDUSD, USDJPY, USDCHF, EURUSD, GBPUSD, USDCAD (average stochastic of all of them). The concept is that it might give help to identify 2 opposing currencies - an overbought currency verses an oversold currency.
Also, if your 'classic' instrument specific stochastic is showing an entry, does the the entire currency group agree?
There's more! You can also see the stochastic of the timeframe above on the current timeframe. You're current period stochastic tells you you've an entry and the stochastic from the timeframe above can indicate there is momentum in your direction. (There is a classic stochastic version of this on my profile)
There is a limit to how much I can fit into a single indicator so if you want to see the current and timeframe above together (recommended) you need to overlap the indicator on itself. See below
You can create a dashboard combined with 'currency relative strengths' (that indicator is on my profile) as per below. You now have an idea of the currency strengths, which currencies are correlating and potential turning point to help you decide which currencies to focus on...
Example...
gbp group COULD be ready to buy
chf group COULD be ready to sell
gbpchf - wait for the 3 min chart to roll over and an its not a bad call (considering it took 60 secs to review the market and choose an entry with the possible backing of the entire currency groups :o) )
REMEMBER, YOU CAN'T THIS TRADE FROM THIS INDICATOR. LOOK AT IT TO UNDERSTAND WHAT THE MARKET MIGHT BE DOING AND FOCUS YOUR DETAILED ATTENTION BASED ON YOUR CONCLUSION.
Good luck
Neglected Volume by DGTVolume is one piece of information that is often neglected, however, learning to interpret volume brings many advantages and could be of tremendous help when it comes to analyzing the markets. In addition to technicians, fundamental investors also take notice of the numbers of shares traded for a given security.
What is Volume?
The volume represents all the recorded trades for a security that occurs in a given time interval. It is a measurement of the participation, enthusiasm, and interest in a given security. Think of volume as the force that drives the market. Volume substantiates, energizes, and empowers price. When volume increases, it confirms price direction; when volume decreases, it contradicts price direction.
In theory, increases in volume generally precede significant price movements. However, If the price is rising in an uptrend but the volume is reducing or unchanged, it may show that there’s little interest in the security, and the price may reverse.
A high volume usually indicates more interest in the security and the presence of institutional traders. However, a rapidly rising price in an uptrend accompanied by a huge volume may be a sign of exhaustion.
Traders usually look for breaks of support and resistance to enter positions. When security break critical levels without volume, you should consider the breakout suspect and prime for a reversal off the highs/lows
Volume spikes are often the result of news-driven events. Volume spike will often lead to sharp reversals since the moves are unsustainable due to the imbalance of supply and demand
note : there’s no centralized exchange where trades are recorded, so the volume data represents what happens at a particular exchange only
In most charting platforms, the volume indicator is presented as color-coded bars, green if the security closes up and red if the security closed lower, where the height of the bars show the amount of the recorded trades
Within this study, Relative Volume , Volume Weighted Bars and Volume Moving Average are presented, where Relative Volume relates current trading volume to past trading volume over long period, Volume Weighted Bars presents price bars colored based on short period past trading volume average, and Volume Moving Average is average of volume over shot period
Relative Volume is presented as color-coded bars similar to regular Volume indicator but uses four color codes instead two. Notable increases of volume are presented in green and red while average values with back and gray, hence adding ability to emphasis notable increases in the volume. It is kind of a like a radar for how "in-play" a security is. Users are allowed to change the threshold, default value is set to Fibonacci golden ration standard deviation away from its moving average.
Volume Weighted Bars, a study of Kıvanç Özbilgiç, aims to present if price movements are supported by Volume. Volume Weighted Bars are calculated based on shot period volume moving average which will reflect more recent changes in volume. Price actions with high volume will be displayed with darker colors, average volume values will remain as they are and low volume values will be indicated with lighter colors.
Volume Moving Average, Is short period volume moving average, aims to display visually the volume changes. Please not that Relative Volume bars are calculated based on standard deviation of long volume moving average.
What Else?
Apart from the volume itself, your ability to assess what volume is telling you in conjunction with price action can be a key factor in your ability to turn a profit in the market. It makes little sense to analyze the volume alone. To correctly interpret the volume data, it shall be seen in the light of what the price is doing. there are a lot of other indicators that are based on the volume data as well as price action. Analysing those volume indicators has always helped traders and investors to better understand what is happening in the market.
Here are the ones adapted with this study. Some of them used as a source for our aim, some adapted as they are with slight changes to fit visually to this study and please note that the numerical presentation may differ from their regular use
• On Balance Volume
• Divergence Indicator
• Correlation Coefficient
• Chaikin Money Flow
Shortly;
On Balance Volume
The On Balance Volume indicator, is a technical analysis indicator that relates volume flow to changes in a security’s price. It uses a cumulative total of positive and negative trading volume to predict the direction of price. The OBV is a volume-based momentum oscillator, so it is a leading indicator — it changes direction before the price
Granville, creator of OBV, proposed the theory that changes in volume precede price movements in a measurable way. He believed that volume was the main force behind major market moves and thought of OBV’s prediction of price changes as a compressed spring that expands rapidly when released.
It is believed that the OBV shows the interactions between the institutional and retail traders in the market
If the price makes a new high, the OBV should also make a new high. If the OBV makes a lower high when the price makes a higher high, there’s a classical bearish divergence — indicating that only the retail traders are buying. Another type of bearish divergence occurs when the price remains relatively quiet and fails to make a higher high but the OBV soars higher than the previous high — indicating that the institutional traders are accumulating short positions. On the other hand, if the price makes a lower low and the OBV makes a higher low, there is a classical bullish divergence, showing that the institutional traders don’t believe in that move
With this study, Momentum and Acceleration (optional) of OBV is calculated and presented, where momentum is most commonly referred to as a rate and measures the acceleration of the price and/or volume of a security. It is also referred to as a technical analysis indicator and oscillator that is able to determine market trends.
Additionally, smoothing functionality with Least Squares Method is added
Divergences especially, should always be noted as a possible reversal in the current trend, so the divergence indicator is adapted with this study where the Momentum of OBV is assumed as Oscillator with similar usages as to RSI. Divergence is most often used to track and analyze the momentum in an asset’s price and the odds of a price reversal within the current trend. The divergence indicator warns traders and technical analysts of changes in a price/volume trend, oftentimes that it is weakening or changing direction.
Correlation Coefficient
The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables. A correlation of -1.0 shows a perfect negative correlation, while a correlation of 1.0 shows a perfect positive correlation. A correlation of 0.0 shows no linear relationship between the movement of the two variables. In other words, the closer the Correlation Coefficient is to 1.0, indicates the instruments will move up and down together as it is mostly expected with volume and price. So the Correlation Coefficient Indicator aims to display when the price and volume (on balance volume) is in correlation and when not. With this study blue represent positive correlation while orange negative correlation. The strength of the correlation is determined by the width of the bands, to emphasis the effect horizontal lines are drawn with values set to 0.5 and -0.5. the values above 0.5 (or below -0.5) shows stronger correlation.
Chaikin Money Flow , provide optionally as a companion indicator
The Chaikin money flow indicator (CMF) is a volume indicator that measures the money flow volume over a chosen period. The money flow volume is a measure of the volume and where the price closed relative to the trading session’s range. It comes from the idea that buying pressure is indicated by a rising volume and recurrent closes in the upper part of the session’s price range while selling pressure is demonstrated by an increasing volume and repeated closes in the lower part of the price range.
Both buying and selling pressures are accompanied by an increase in volume, but the location of the closing prices are in accordance with the direction of price
Special thanks to @InvestCHK and @hjsjshs , who have enormously contributed while preparing this study
related studies:
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy
The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins.
This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend.
Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy.
It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model.
✅ Why did I choose OTHERS.D and MEME.D as reference indices?
I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins.
🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap.
This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins.
🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins.
A rising OTHERS.D often signals the start of broader altcoin rallies.
🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity.
It's perfect for timing momentum shifts in high-risk, high-reward tokens.
By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior.
📐 How It Works — Core Logic and Execution Model
At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index.
A trade is only executed when both EMA crossovers agree on the direction. For example:
Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA
Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA
You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy.
Additionally, the strategy includes:
- Adaptive position sizing, based on fixed capital or current equity (compound mode)
- Take Profit and Stop Loss in percentage terms
- Smart partial exits when trend momentum fades
- Date filtering for precise backtesting over specific timeframes
- Real-time performance stats, equity tracking, and visual cues on chart
⚙️ Parameters & Customization
🔁 EMA Settings
Each EMA pair is customizable:
Coin Fast EMA: Default = 47
Coin Slow EMA: Default = 50
Index Fast EMA: Default = 47
Index Slow EMA: Default = 50
These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive.
🧭 Index Reference
The correlation mechanism uses CryptoCap sector dominance indexes:
OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones
MEME.D: Dominance of all Meme coins
These are dynamically calculated using:
OTHERS_D = OTHERS_cap / TOTAL_cap * 100
MEME_D = MEME_cap / TOTAL_cap * 100
You can select:
Reference Index: OTHERS.D or MEME.D
Or disable the index reference completely (Don't Use Index Reference)
💰 Position Sizing & Risk Management
Two capital allocation models are supported:
- Fixed % of initial capital (default)
- Compound profits, which scales positions as equity grows
Settings:
- Compound profits?: true/false
- % of equity: Between 1% and 200% (default = 10%)
This is critical for users who want to balance growth with risk.
🎯 Take Profit / Stop Loss
Customizable thresholds determine automatic exits:
- TakeProfit: Default = 99999 (disabled)
- StopLoss: Default = 5 (%)
These exits are percentage-based and operate off the entry price vs. current close.
📉 Trend Weakening Exit (Scale Out)
If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position:
- Scale Position on Weak Trend?: true/false
- Scaled Percentage: % to close (default = 65%)
This feature is useful for preserving profits without exiting completely.
📆 Date Filter
Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets):
- Filter Date Range of Backtest: ON/OFF
- Start Date and End Date: Custom time range
OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab):
- Initial Capital is set to 100 USD
- Commission is set to 0.055% (The ones I have on Bybit)
- Slippage is set to 3 ticks
- Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation
📊 Visual Feedback and Debug Tools
📈 EMA Trend Visualization
The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend:
Lime: Coin and index both bullish
Teal: Only coin bullish
Maroon: Only index bullish
Red: Both bearish
This allows for immediate visual confirmation of current trend strength.
💬 Real-Time PnL Labels
When a trade closes, a label shows:
Previous trade return in % (first value is the effective PL)
Green background for profit, Red for losses.
📑 Summary Table Overlay
This table appears in a corner of the chart (user-defined) and shows live performance data including:
Trade direction (yellow long, purple short)
Emojis: 💚 for current profit, 😡 for current loss
Total number of trades
Win rate
Max drawdown
Duration in days
Current trade profit/loss (absolute and %)
Cumulative PnL (absolute and %)
APR (Annualized Percentage Return)
Each metric is color-coded:
Green for strong results
Yellow/orange for average
Red/maroon for poor performance
You can select where this appears:
Top Left
Top Right
Bottom Left
Bottom Right (default)
📚 Interpretation of Key Metrics
Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”)
Net Profit: Total gains including open positions
Max Drawdown: Largest peak-to-valley drop in strategy equity
APR: Annualized return calculated based on equity growth and days elapsed
Win Rate: % of profitable trades
PnL %: Percentage profit on the most recent trade
🧠 Advanced Logic & Safety Features
🛑 “Don’t Re-Enter” Filter
If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets.
🧷 Equity Protection
No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical.
Keep in mind that past results in no way guarantee future performance.
Eddie Bitcoin
Live Trading Metrics DashboardReal-Time Trading Data Table for Chart Analysis
This clean and professional dashboard displays essential trading metrics directly on your chart in an easy-to-read table format. Perfect for traders who need quick access to key volatility and momentum data without cluttering their chart with multiple indicators.
Key Metrics Displayed:
IBD Relative Strength (RS):
Professional Formula: Uses Investor's Business Daily methodology
Multi-Timeframe Analysis: Weighted calculation across 3, 6, 9, and 12-month periods
Performance Indicator: Shows how the instrument performs relative to its historical price action
Real-Time Updates: Values update with each bar for current market conditions
1.5 ATR (Average True Range):
Volatility Measurement: 14-period ATR multiplied by 1.5 for extended range analysis
Stop-Loss Placement: Ideal for setting dynamic stop-loss levels
Risk Management: Helps determine appropriate position sizing based on volatility
Breakout Targets: Useful for setting profit targets on breakout trades
1.5 ATR Percentage:
Relative Volatility: Shows 1.5 ATR as a percentage of current price
Cross-Asset Comparison: Enables volatility comparison across different instruments
Position Sizing: Helps calculate risk per trade as percentage of price
Market Context: Understand volatility relative to instrument value
How to Interpret:
Positive IBD RS: Instrument showing strength relative to historical performance
Negative IBD RS: Instrument showing weakness relative to historical performance
Higher ATR Values: Increased volatility, wider stops needed
Higher ATR %: Greater relative volatility for the instrument's price level
Perfect For:
Day traders needing quick volatility reference
Swing traders using IBD methodology
Position traders managing risk with ATR-based stops
Any trader wanting clean, organized data display